Table of metaheuristics: Difference between revisions

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|1994
|1994
|<ref>{{Citation|last1=Sebald|first1=Anthony V.|title=Evolutionary Programming|date=1994-09-01|url=https://www.worldscientific.com/doi/abs/10.1142/9789814534116|pages=1–386|publisher=WORLD SCIENTIFIC|doi=10.1142/9789814534116|isbn=978-981-02-1810-2|access-date=2020-07-29|last2=Fogel|first2=Lawrence J.}}</ref>
|<ref>{{Cite book|last1=Sebald|first1=Anthony V.|chapter=Evolutionary Programming|date=1994-09-01|pages=1–386|title=Proceedings of the Third Annual Conference|publisher=WORLD SCIENTIFIC|doi=10.1142/9789814534116 |isbn=978-981-02-1810-2|last2=Fogel|first2=Lawrence J.}}</ref>
|-
|-
|[[Particle swarm optimization|Particle Swarm Optimization]]
|[[Particle swarm optimization|Particle Swarm Optimization]]
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|<nowiki>-</nowiki>
|<nowiki>-</nowiki>
|1997
|1997
|<ref>{{Cite journal|last1=Storn|first1=Rainer|last2=Price|first2=Kenneth|date=1997-12-01|title=Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces|url=https://doi.org/10.1023/A:1008202821328|journal=Journal of Global Optimization|language=en|volume=11|issue=4|pages=341–359|doi=10.1023/A:1008202821328|s2cid=5297867|issn=1573-2916}}</ref>
|<ref>{{Cite journal|last1=Storn|first1=Rainer|last2=Price|first2=Kenneth|date=1997-12-01 |title=Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces|journal=Journal of Global Optimization|language=en|volume=11|issue=4|pages=341–359 |doi=10.1023/A:1008202821328|s2cid=5297867|issn=1573-2916}}</ref>
|-
|-
|[[Local search (optimization)|Local Search]]
|[[Local search (optimization)|Local Search]]
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| -
| -
|1997
|1997
|<ref>{{Cite journal|last1=Mladenović|first1=N.|last2=Hansen|first2=P.|date=1997-11-01|title=Variable neighborhood search|url=http://www.sciencedirect.com/science/article/pii/S0305054897000312|journal=Computers & Operations Research|language=en|volume=24|issue=11|pages=1097–1100|doi=10.1016/S0305-0548(97)00031-2|issn=0305-0548}}</ref>
|<ref>{{Cite journal|last1=Mladenović|first1=N.|last2=Hansen|first2=P.|date=1997-11-01|title=Variable neighborhood search|journal=Computers & Operations Research|language=en|volume=24|issue=11|pages=1097–1100|doi=10.1016/S0305-0548(97)00031-2|issn=0305-0548}}</ref>
|-
|-
|Guided Local Search
|Guided Local Search
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|<nowiki>-</nowiki>
|<nowiki>-</nowiki>
|2001
|2001
|<ref>{{Cite journal|last1=Zong Woo Geem|last2=Joong Hoon Kim|last3=Loganathan|first3=G.V.|date=February 2001|title=A New Heuristic Optimization Algorithm: Harmony Search|url=https://doi.org/10.1177/003754970107600201|journal=Simulation|language=en-US|volume=76|issue=2|pages=60–68|doi=10.1177/003754970107600201|s2cid=20076748|issn=0037-5497}}</ref>
|<ref>{{Cite journal|last1=Zong Woo Geem|last2=Joong Hoon Kim|last3=Loganathan|first3=G.V.|date=February 2001|title=A New Heuristic Optimization Algorithm: Harmony Search|journal=Simulation|language=en-US|volume=76|issue=2 |pages=60–68|doi=10.1177/003754970107600201|s2cid=20076748|issn=0037-5497}}</ref>
|-
|-
|[[Memetic algorithm|Memetic Algorithm]]
|[[Memetic algorithm|Memetic Algorithm]]
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|<nowiki>-</nowiki>
|<nowiki>-</nowiki>
|2003
|2003
|<ref>{{Citation|last1=Lourenço|first1=Helena R.|title=Iterated Local Search|date=2003|url=https://doi.org/10.1007/0-306-48056-5_11|work=Handbook of Metaheuristics|pages=320–353|editor-last=Glover|editor-first=Fred|series=International Series in Operations Research & Management Science|place=Boston, MA|publisher=Springer US|language=en|doi=10.1007/0-306-48056-5_11|isbn=978-0-306-48056-0|access-date=2020-07-29|last2=Martin|first2=Olivier C.|last3=Stützle|first3=Thomas|s2cid=198489826|editor2-last=Kochenberger|editor2-first=Gary A.}}</ref>
|<ref>{{Cite book|last1=Lourenço|first1=Helena R.|chapter=Iterated Local Search|date=2003|title=Handbook of Metaheuristics|pages=320–353|editor-last=Glover|editor-first=Fred|series=International Series in Operations Research & Management Science|place=Boston, MA|publisher=Springer US|language=en|doi=10.1007/0-306-48056-5_11|isbn=978-0-306-48056-0|last2=Martin|first2=Olivier C.|last3=Stützle|first3=Thomas|s2cid=198489826 |editor2-last=Kochenberger |editor2-first=Gary A.}}</ref>
|-
|-
|Artificial Bee Colony
|Artificial Bee Colony
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|Bio-inspired
|Bio-inspired
|2005
|2005
|<ref>{{Cite journal|last1=Karaboga|first1=Dervis|last2=Basturk|first2=Bahriye|date=2007-11-01|title=A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm|url=https://doi.org/10.1007/s10898-007-9149-x|journal=Journal of Global Optimization|language=en|volume=39|issue=3|pages=459–471|doi=10.1007/s10898-007-9149-x|s2cid=8540283|issn=1573-2916}}</ref>
|<ref>{{Cite journal|last1=Karaboga|first1=Dervis|last2=Basturk|first2=Bahriye|date=2007-11-01|title=A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm |journal=Journal of Global Optimization|language=en|volume=39|issue=3|pages=459–471|doi=10.1007/s10898-007-9149-x|s2cid=8540283|issn=1573-2916}}</ref>
|-
|-
|[[Ant colony optimization|Ant Colony Optimization]]
|[[Ant colony optimization|Ant Colony Optimization]]
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|Bio-inspired
|Bio-inspired
|2006
|2006
|<ref>{{Cite journal|last1=Eusuff|first1=Muzaffar|last2=Lansey|first2=Kevin|last3=Pasha|first3=Fayzul|date=2006-03-01|title=Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization|url=https://doi.org/10.1080/03052150500384759|journal=Engineering Optimization|volume=38|issue=2|pages=129–154|doi=10.1080/03052150500384759|s2cid=18117277|issn=0305-215X}}</ref>
|<ref>{{Cite journal|last1=Eusuff|first1=Muzaffar|last2=Lansey|first2=Kevin|last3=Pasha|first3=Fayzul |date=2006-03-01|title=Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization |journal=Engineering Optimization|volume=38|issue=2|pages=129–154|doi=10.1080/03052150500384759 |s2cid=18117277|issn=0305-215X}}</ref>
|-
|-
|Invasive Weed Optimization
|Invasive Weed Optimization
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|Plant-based
|Plant-based
|2006
|2006
|<ref>{{Cite journal|last1=Mehrabian|first1=A. R.|last2=Lucas|first2=C.|date=2006-12-01|title=A novel numerical optimization algorithm inspired from weed colonization|url=http://www.sciencedirect.com/science/article/pii/S1574954106000665|journal=Ecological Informatics|language=en|volume=1|issue=4|pages=355–366|doi=10.1016/j.ecoinf.2006.07.003|issn=1574-9541}}</ref>
|<ref>{{Cite journal|last1=Mehrabian|first1=A. R.|last2=Lucas|first2=C.|date=2006-12-01|title=A novel numerical optimization algorithm inspired from weed colonization|journal=Ecological Informatics |language=en|volume=1|issue=4 |pages=355–366|doi=10.1016/j.ecoinf.2006.07.003|issn=1574-9541}}</ref>
|-
|-
|Seeker Optimization Algorithm
|Seeker Optimization Algorithm
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|Bio-inspired
|Bio-inspired
|2010
|2010
|<ref>{{Citation|last=Yang|first=Xin-She|title=A New Metaheuristic Bat-Inspired Algorithm|date=2010|url=https://doi.org/10.1007/978-3-642-12538-6_6|work=Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)|pages=65–74|editor-last=González|editor-first=Juan R.|series=Studies in Computational Intelligence|volume=284|place=Berlin, Heidelberg|publisher=Springer|language=en|doi=10.1007/978-3-642-12538-6_6|isbn=978-3-642-12538-6|s2cid=14494281|access-date=2020-07-28|editor2-last=Pelta|editor2-first=David Alejandro|editor3-last=Cruz|editor3-first=Carlos|editor4-last=Terrazas|editor4-first=Germán}}</ref>
|<ref>{{Cite book|last=Yang|first=Xin-She|chapter=A New Metaheuristic Bat-Inspired Algorithm|date=2010 |title=Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)|pages=65–74|editor-last=González|editor-first=Juan R.|series=Studies in Computational Intelligence|volume=284|place=Berlin, Heidelberg|publisher=Springer|language=en|doi=10.1007/978-3-642-12538-6_6|isbn=978-3-642-12538-6 |s2cid=14494281|editor2-last=Pelta|editor2-first=David Alejandro|editor3-last=Cruz|editor3-first=Carlos |editor4-last=Terrazas|editor4-first=Germán}}</ref>
|-
|-
|Charged System Search
|Charged System Search
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|Physics/Chemistry-based
|Physics/Chemistry-based
|2010
|2010
|<ref>{{Cite journal|last1=Kaveh|first1=A.|last2=Talatahari|first2=S.|date=2010-09-01|title=A novel heuristic optimization method: charged system search|url=https://doi.org/10.1007/s00707-009-0270-4|journal=Acta Mechanica|language=en|volume=213|issue=3|pages=267–289|doi=10.1007/s00707-009-0270-4|s2cid=119512430|issn=1619-6937}}</ref>
|<ref>{{Cite journal|last1=Kaveh|first1=A.|last2=Talatahari|first2=S.|date=2010-09-01|title=A novel heuristic optimization method: charged system search|journal=Acta Mechanica|language=en|volume=213|issue=3 |pages=267–289 |doi=10.1007/s00707-009-0270-4|s2cid=119512430|issn=1619-6937}}</ref>
|-
|-
|Eagle Strategy
|Eagle Strategy
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|
|
|2010
|2010
|<ref>{{Citation |last=Tan |first=Ying |title=Fireworks Algorithm for Optimization |date=2010 |url=http://link.springer.com/10.1007/978-3-642-13495-1_44 |work=Advances in Swarm Intelligence |volume=6145 |pages=355–364 |editor-last=Tan |editor-first=Ying |place=Berlin, Heidelberg |publisher=Springer Berlin Heidelberg |doi=10.1007/978-3-642-13495-1_44 |isbn=978-3-642-13494-4 |access-date=2022-08-25 |last2=Zhu |first2=Yuanchun |editor2-last=Shi |editor2-first=Yuhui |editor3-last=Tan |editor3-first=Kay Chen}}</ref>
|<ref>{{Cite book |last=Tan |first=Ying |chapter=Fireworks Algorithm for Optimization |date=2010 |title=Advances in Swarm Intelligence |series=Lecture Notes in Computer Science |volume=6145 |pages=355–364 |editor-last=Tan |editor-first=Ying |place=Berlin, Heidelberg |publisher=Springer Berlin Heidelberg |doi=10.1007/978-3-642-13495-1_44 |isbn=978-3-642-13494-4 |last2=Zhu |first2=Yuanchun |editor2-last=Shi |editor2-first=Yuhui |editor3-last=Tan |editor3-first=Kay Chen}}</ref>
|-
|-
|Cuckoo Optimization Algorithm
|Cuckoo Optimization Algorithm
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|Bio-inspired
|Bio-inspired
|2011
|2011
|<ref>{{Cite journal|last=Rajabioun|first=Ramin|date=2011-12-01|title=Cuckoo Optimization Algorithm|url=http://www.sciencedirect.com/science/article/pii/S1568494611001670|journal=Applied Soft Computing|language=en|volume=11|issue=8|pages=5508–5518|doi=10.1016/j.asoc.2011.05.008|issn=1568-4946}}</ref>
|<ref>{{Cite journal|last=Rajabioun|first=Ramin|date=2011-12-01|title=Cuckoo Optimization Algorithm |journal=Applied Soft Computing|language=en|volume=11|issue=8|pages=5508–5518 |doi=10.1016/j.asoc.2011.05.008 |issn=1568-4946}}</ref>
|-
|-
|Stochastic Diffusion Search
|Stochastic Diffusion Search
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|
|
|2011
|2011
|<ref>{{Cite journal|last1=Rao|first1=R. V.|last2=Savsani|first2=V. J.|last3=Vakharia|first3=D. P.|date=2011-03-01|title=Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems|url=http://www.sciencedirect.com/science/article/pii/S0010448510002484|journal=Computer-Aided Design|language=en|volume=43|issue=3|pages=303–315|doi=10.1016/j.cad.2010.12.015|issn=0010-4485}}</ref>
|<ref>{{Cite journal|last1=Rao|first1=R. V.|last2=Savsani|first2=V. J.|last3=Vakharia|first3=D. P. |date=2011-03-01|title=Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems |journal=Computer-Aided Design|language=en|volume=43|issue=3|pages=303–315 |doi=10.1016/j.cad.2010.12.015|issn=0010-4485}}</ref>
|-
|-
|Bacterial Colony Optimization
|Bacterial Colony Optimization
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|Bio-inspired
|Bio-inspired
|2012
|2012
|<ref>{{Cite journal|last1=Gandomi|first1=Amir Hossein|last2=Alavi|first2=Amir Hossein|date=2012-12-01|title=Krill herd: A new bio-inspired optimization algorithm|url=http://www.sciencedirect.com/science/article/pii/S1007570412002171|journal=Communications in Nonlinear Science and Numerical Simulation|language=en|volume=17|issue=12|pages=4831–4845|doi=10.1016/j.cnsns.2012.05.010|bibcode=2012CNSNS..17.4831G|issn=1007-5704}}</ref>
|<ref>{{Cite journal|last1=Gandomi|first1=Amir Hossein|last2=Alavi|first2=Amir Hossein|date=2012-12-01 |title=Krill herd: A new bio-inspired optimization algorithm|journal=Communications in Nonlinear Science and Numerical Simulation|language=en|volume=17|issue=12|pages=4831–4845|doi=10.1016/j.cnsns.2012.05.010 |bibcode=2012CNSNS..17.4831G|issn=1007-5704}}</ref>
|-
|-
|Migrating Birds Optimization
|Migrating Birds Optimization
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|Swarm-based
|Swarm-based
|2012
|2012
|<ref>{{Cite journal|last1=Duman|first1=Ekrem|last2=Uysal|first2=Mitat|last3=Alkaya|first3=Ali Fuat|date=2012-12-25|title=Migrating Birds Optimization: A new metaheuristic approach and its performance on quadratic assignment problem|url=http://www.sciencedirect.com/science/article/pii/S0020025512004483|journal=Information Sciences|language=en|volume=217|pages=65–77|doi=10.1016/j.ins.2012.06.032|issn=0020-0255}}</ref>
|<ref>{{Cite journal|last1=Duman|first1=Ekrem|last2=Uysal|first2=Mitat|last3=Alkaya|first3=Ali Fuat |date=2012-12-25|title=Migrating Birds Optimization: A new metaheuristic approach and its performance on quadratic assignment problem|journal=Information Sciences|language=en|volume=217|pages=65–77 |doi=10.1016/j.ins.2012.06.032|issn=0020-0255}}</ref>
|-
|-
|Water Cycle Algorithm
|Water Cycle Algorithm
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|<nowiki>-</nowiki>
|<nowiki>-</nowiki>
|2013
|2013
|<ref>{{Cite journal|last=Civicioglu|first=Pinar|date=2013-04-01|title=Backtracking Search Optimization Algorithm for numerical optimization problems|url=http://www.sciencedirect.com/science/article/pii/S0096300313001380|journal=Applied Mathematics and Computation|language=en|volume=219|issue=15|pages=8121–8144|doi=10.1016/j.amc.2013.02.017|issn=0096-3003}}</ref>
|<ref>{{Cite journal|last=Civicioglu|first=Pinar|date=2013-04-01|title=Backtracking Search Optimization Algorithm for numerical optimization problems|journal=Applied Mathematics and Computation|language=en |volume=219|issue=15 |pages=8121–8144|doi=10.1016/j.amc.2013.02.017|issn=0096-3003}}</ref>
|-
|-
|Black Hole Algorithm
|Black Hole Algorithm
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|Physics/Chemistry-based
|Physics/Chemistry-based
|2013
|2013
|<ref>{{Cite journal|last=Hatamlou|first=Abdolreza|date=2013-02-10|title=Black hole: A new heuristic optimization approach for data clustering|url=http://www.sciencedirect.com/science/article/pii/S0020025512005762|journal=Information Sciences|series=Including Special Section on New Trends in Ambient Intelligence and Bio-inspired Systems|language=en|volume=222|pages=175–184|doi=10.1016/j.ins.2012.08.023|issn=0020-0255}}</ref>
|<ref>{{Cite journal|last=Hatamlou|first=Abdolreza|date=2013-02-10|title=Black hole: A new heuristic optimization approach for data clustering|journal=Information Sciences|series=Including Special Section on New Trends in Ambient Intelligence and Bio-inspired Systems|language=en|volume=222|pages=175–184|doi=10.1016/j.ins.2012.08.023|issn=0020-0255}}</ref>
|-
|-
|Dolphin Echolocation
|Dolphin Echolocation
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|Bio-inspired
|Bio-inspired
|2013
|2013
|<ref>{{Cite journal|last1=Kaveh|first1=A.|last2=Farhoudi|first2=N.|date=2013-05-01|title=A new optimization method: Dolphin echolocation|url=http://www.sciencedirect.com/science/article/pii/S0965997813000318|journal=Advances in Engineering Software|language=en|volume=59|pages=53–70|doi=10.1016/j.advengsoft.2013.03.004|issn=0965-9978}}</ref>
|<ref>{{Cite journal|last1=Kaveh|first1=A.|last2=Farhoudi|first2=N.|date=2013-05-01|title=A new optimization method: Dolphin echolocation|journal=Advances in Engineering Software|language=en|volume=59|pages=53–70|doi=10.1016/j.advengsoft.2013.03.004|issn=0965-9978}}</ref>
|-
|-
|Animal Migration Optimization
|Animal Migration Optimization
Line 354: Line 354:
|Swarm-based
|Swarm-based
|2013
|2013
|<ref>{{Cite journal|last1=Li|first1=Xiangtao|last2=Zhang|first2=Jie|last3=Yin|first3=Minghao|date=2014-06-01|title=Animal migration optimization: an optimization algorithm inspired by animal migration behavior|url=https://doi.org/10.1007/s00521-013-1433-8|journal=Neural Computing and Applications|language=en|volume=24|issue=7|pages=1867–1877|doi=10.1007/s00521-013-1433-8|s2cid=4362350|issn=1433-3058}}</ref>
|<ref>{{Cite journal|last1=Li|first1=Xiangtao|last2=Zhang|first2=Jie|last3=Yin|first3=Minghao|date=2014-06-01|title=Animal migration optimization: an optimization algorithm inspired by animal migration behavior |journal=Neural Computing and Applications|language=en|volume=24|issue=7|pages=1867–1877 |doi=10.1007/s00521-013-1433-8|s2cid=4362350|issn=1433-3058}}</ref>
|-
|-
|Keshtel Algorithm
|Keshtel Algorithm
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|
|
|2014
|2014
|<ref>{{Cite journal|last1=Chandra S S|first1=Vinod|date=2014-03-01|title=Solving the integrated scheduling of production and rail transportation problem by Keshtel algorithm|url=https://www.sciencedirect.com/science/article/pii/S1568494614004876|journal=Applied Soft Computing|language=en|volume=25|issue=3|pages=184–203|doi=10.1016/j.asoc.2014.09.034|issn=1568-4946}}</ref>
|<ref>{{Cite journal|last1=Chandra S S|first1=Vinod|date=2014-03-01|title=Solving the integrated scheduling of production and rail transportation problem by Keshtel algorithm|journal=Applied Soft Computing|language=en|volume=25 |issue=3|pages=184–203|doi=10.1016/j.asoc.2014.09.034|issn=1568-4946}}</ref>
|-
|-
|SDA Optimization Algorithm
|SDA Optimization Algorithm
Line 389: Line 389:
|Bio-inspired
|Bio-inspired
|2014
|2014
|<ref>{{Cite journal |last1=Meng |first1=Xianbing |last2=Liu |first2=Yu |last3=Gao |first3=Xiaozhi |last4=Zhang |first4=Hengzhen |date=2014 |editor-last=Tan |editor-first=Ying |editor2-last=Shi |editor2-first=Yuhui |editor3-last=Coello |editor3-first=Carlos A. Coello |title=A New Bio-inspired Algorithm: Chicken Swarm Optimization |url=https://link.springer.com/chapter/10.1007/978-3-319-11857-4_10 |journal=Advances in Swarm Intelligence |series=Lecture Notes in Computer Science |volume=8794 |language=en |location=Cham |publisher=Springer International Publishing |pages=86–94 |doi=10.1007/978-3-319-11857-4_10 |isbn=978-3-319-11857-4}}</ref>
|<ref>{{Cite book |last1=Meng |first1=Xianbing |last2=Liu |first2=Yu |last3=Gao |first3=Xiaozhi |last4=Zhang |first4=Hengzhen |date=2014 |editor-last=Tan |editor-first=Ying |editor2-last=Shi |editor2-first=Yuhui |editor3-last=Coello |editor3-first=Carlos A. Coello |chapter=A New Bio-inspired Algorithm: Chicken Swarm Optimization |title=Advances in Swarm Intelligence |series=Lecture Notes in Computer Science |volume=8794 |language=en |location=Cham |publisher=Springer International Publishing |pages=86–94 |doi=10.1007/978-3-319-11857-4_10 |isbn=978-3-319-11857-4}}</ref>
|-
|-
|Colliding Bodies Optimization
|Colliding Bodies Optimization
Line 396: Line 396:
|
|
|2014
|2014
|<ref>{{Cite journal |last=Kaveh |first=A. |last2=Mahdavi |first2=V. R. |date=2014-07-15 |title=Colliding bodies optimization: A novel meta-heuristic method |url=https://www.sciencedirect.com/science/article/pii/S0045794914000935 |journal=Computers & Structures |language=en |volume=139 |pages=18–27 |doi=10.1016/j.compstruc.2014.04.005 |issn=0045-7949}}</ref>
|<ref>{{Cite journal |last=Kaveh |first=A. |last2=Mahdavi |first2=V. R. |date=2014-07-15 |title=Colliding bodies optimization: A novel meta-heuristic method |journal=Computers & Structures |language=en |volume=139 |pages=18–27 |doi=10.1016/j.compstruc.2014.04.005 |issn=0045-7949}}</ref>
|-
|-
|Coral Reefs Optimization Algorithm
|Coral Reefs Optimization Algorithm
Line 410: Line 410:
|Plant-based
|Plant-based
|2014
|2014
|<ref>{{Citation |last=Yang |first=Xin-She |title=Flower Pollination Algorithm for Global Optimization |date=2012 |url=http://link.springer.com/10.1007/978-3-642-32894-7_27 |work=Unconventional Computation and Natural Computation |volume=7445 |pages=240–249 |editor-last=Durand-Lose |editor-first=Jérôme |place=Berlin, Heidelberg |publisher=Springer Berlin Heidelberg |doi=10.1007/978-3-642-32894-7_27 |isbn=978-3-642-32893-0 |access-date=2022-08-25 |editor2-last=Jonoska |editor2-first=Nataša}}</ref>
|<ref>{{Cite book |last=Yang |first=Xin-She |chapter=Flower Pollination Algorithm for Global Optimization |date=2012 |title=Unconventional Computation and Natural Computation |series=Lecture Notes in Computer Science |volume=7445 |pages=240–249 |editor-last=Durand-Lose |editor-first=Jérôme |place=Berlin, Heidelberg |publisher=Springer Berlin Heidelberg |doi=10.1007/978-3-642-32894-7_27 |isbn=978-3-642-32893-0 |editor2-last=Jonoska |editor2-first=Nataša}}</ref>
|-
|-
|Radial Movement Optimization
|Radial Movement Optimization
Line 417: Line 417:
|Swarm-based
|Swarm-based
|2014
|2014
|<ref>{{Cite journal |last1=Rahmani |first1=Rasoul |last2=Yusof |first2=Rubiyah |date=2014-12-01 |title=A new simple, fast and efficient algorithm for global optimization over continuous search-space problems: Radial Movement Optimization |url=https://www.sciencedirect.com/science/article/pii/S0096300314013368 |journal=Applied Mathematics and Computation |language=en |volume=248 |pages=287–300 |doi=10.1016/j.amc.2014.09.102 |issn=0096-3003}}</ref>
|<ref>{{Cite journal |last1=Rahmani |first1=Rasoul |last2=Yusof |first2=Rubiyah |date=2014-12-01 |title=A new simple, fast and efficient algorithm for global optimization over continuous search-space problems: Radial Movement Optimization |journal=Applied Mathematics and Computation |language=en |volume=248 |pages=287–300 |doi=10.1016/j.amc.2014.09.102 |issn=0096-3003}}</ref>
|-
|-
|Spider Monkey Optimization
|Spider Monkey Optimization
Line 424: Line 424:
|Bio-inspired
|Bio-inspired
|2014
|2014
|<ref>{{Cite journal|last1=Bansal|first1=Jagdish Chand|last2=Sharma|first2=Harish|last3=Jadon|first3=Shimpi Singh|last4=Clerc|first4=Maurice|date=2014-03-01|title=Spider Monkey Optimization algorithm for numerical optimization|url=https://doi.org/10.1007/s12293-013-0128-0|journal=Memetic Computing|language=en|volume=6|issue=1|pages=31–47|doi=10.1007/s12293-013-0128-0|s2cid=5714781|issn=1865-9292}}</ref>
|<ref>{{Cite journal|last1=Bansal|first1=Jagdish Chand|last2=Sharma|first2=Harish|last3=Jadon|first3=Shimpi Singh|last4=Clerc|first4=Maurice|date=2014-03-01|title=Spider Monkey Optimization algorithm for numerical optimization |journal=Memetic Computing|language=en|volume=6|issue=1|pages=31–47|doi=10.1007/s12293-013-0128-0|s2cid=5714781|issn=1865-9292}}</ref>
|-
|-
|Artificial Algae Algorithm
|Artificial Algae Algorithm
Line 431: Line 431:
|
|
|2015
|2015
|<ref>{{Cite journal|last1=Uymaz|first1=Sait Ali|last2=Tezel|first2=Gulay|last3=Yel|first3=Esra|date=2015-06-01|title=Artificial algae algorithm (AAA) for nonlinear global optimization|url=http://www.sciencedirect.com/science/article/pii/S1568494615001465|journal=Applied Soft Computing|language=en|volume=31|pages=153–171|doi=10.1016/j.asoc.2015.03.003|issn=1568-4946}}</ref>
|<ref>{{Cite journal|last1=Uymaz|first1=Sait Ali|last2=Tezel|first2=Gulay|last3=Yel|first3=Esra|date=2015-06-01|title=Artificial algae algorithm (AAA) for nonlinear global optimization|journal=Applied Soft Computing|language=en|volume=31|pages=153–171|doi=10.1016/j.asoc.2015.03.003|issn=1568-4946}}</ref>
|-
|-
|Adaptive Dimensional Search
|Adaptive Dimensional Search
Line 459: Line 459:
|
|
|2015
|2015
|<ref>{{Cite journal |last=Srivastava |first=Abhishek |last2=Das |first2=Dushmanta Kumar |date=2022-05-11 |title=A bottlenose dolphin optimizer: An application to solve dynamic emission economic dispatch problem in the microgrid |url=https://www.sciencedirect.com/science/article/pii/S0950705122001885 |journal=Knowledge-Based Systems |language=en |volume=243 |pages=108455 |doi=10.1016/j.knosys.2022.108455 |issn=0950-7051}}</ref>
|<ref>{{Cite journal |last=Srivastava |first=Abhishek |last2=Das |first2=Dushmanta Kumar |date=2022-05-11 |title=A bottlenose dolphin optimizer: An application to solve dynamic emission economic dispatch problem in the microgrid |journal=Knowledge-Based Systems |language=en |volume=243 |pages=108455 |doi=10.1016/j.knosys.2022.108455 |issn=0950-7051}}</ref>
|-
|-
|Cricket Algorithm
|Cricket Algorithm
Line 466: Line 466:
|
|
|2015
|2015
|<ref>{{Cite journal|last1=Canayaz|first1=Murat|last2=Karci|first2=Ali|date=2016-03-01|title=Cricket behaviour-based evolutionary computation technique in solving engineering optimization problems|url=https://doi.org/10.1007/s10489-015-0706-6|journal=Applied Intelligence|language=en|volume=44|issue=2|pages=362–376|doi=10.1007/s10489-015-0706-6|s2cid=16194679|issn=1573-7497}}</ref>
|<ref>{{Cite journal|last1=Canayaz|first1=Murat|last2=Karci|first2=Ali|date=2016-03-01|title=Cricket behaviour-based evolutionary computation technique in solving engineering optimization problems |journal=Applied Intelligence |language=en|volume=44|issue=2|pages=362–376|doi=10.1007/s10489-015-0706-6 |s2cid=16194679|issn=1573-7497}}</ref>
|-
|-
|Elephant Search Algorithm
|Elephant Search Algorithm
Line 473: Line 473:
|Bio-inspired
|Bio-inspired
|2015
|2015
|<ref>{{Cite journal|last1=Deb|first1=Suash|last2=Fong|first2=Simon|last3=Tian|first3=Zhonghuan|date=October 2015|title=Elephant Search Algorithm for optimization problems|url=https://ieeexplore.ieee.org/document/7381893|journal=2015 Tenth International Conference on Digital Information Management (ICDIM)|pages=249–255|doi=10.1109/ICDIM.2015.7381893|isbn=978-1-4673-9152-8|s2cid=2460217}}</ref>
|<ref>{{Cite journal|last1=Deb|first1=Suash|last2=Fong|first2=Simon|last3=Tian|first3=Zhonghuan |date=October 2015|title=Elephant Search Algorithm for optimization problems|journal=2015 Tenth International Conference on Digital Information Management (ICDIM)|pages=249–255 |doi=10.1109/ICDIM.2015.7381893|isbn=978-1-4673-9152-8|s2cid=2460217}}</ref>
|-
|-
|Grey Wolf Optimizer
|Grey Wolf Optimizer
Line 480: Line 480:
|Bio-inspired
|Bio-inspired
|2015
|2015
|<ref>{{Cite journal|last1=Mirjalili|first1=Seyedali|last2=Mirjalili|first2=Seyed Mohammad|last3=Lewis|first3=Andrew|date=2014-03-01|title=Grey Wolf Optimizer|url=http://www.sciencedirect.com/science/article/pii/S0965997813001853|journal=Advances in Engineering Software|language=en|volume=69|pages=46–61|doi=10.1016/j.advengsoft.2013.12.007|issn=0965-9978|hdl=10072/66188|hdl-access=free}}</ref>
|<ref>{{Cite journal|last1=Mirjalili|first1=Seyedali|last2=Mirjalili|first2=Seyed Mohammad|last3=Lewis |first3=Andrew|date=2014-03-01|title=Grey Wolf Optimizer|journal=Advances in Engineering Software |language=en|volume=69 |pages=46–61|doi=10.1016/j.advengsoft.2013.12.007|issn=0965-9978|hdl=10072/66188 |hdl-access=free}}</ref>
|-
|-
|Jaguar Algorithm
|Jaguar Algorithm
Line 494: Line 494:
|Swarm-based
|Swarm-based
|2015
|2015
|<ref>{{Cite journal|last1=Cuevas|first1=Erik|last2=González|first2=Adrián|last3=Zaldívar|first3=Daniel|last4=Cisneros|first4=Marco Pérez|date=2015|title=An optimisation algorithm based on the behaviour of locust swarms|url=https://doi.org/10.1504/IJBIC.2015.073178|journal=International Journal of Bio-Inspired Computation|language=en|volume=7|issue=6|pages=402|doi=10.1504/ijbic.2015.073178|issn=1758-0366}}</ref>
|<ref>{{Cite journal|last1=Cuevas|first1=Erik|last2=González|first2=Adrián|last3=Zaldívar|first3=Daniel |last4=Cisneros|first4=Marco Pérez|date=2015|title=An optimisation algorithm based on the behaviour of locust swarms |journal=International Journal of Bio-Inspired Computation|language=en|volume=7|issue=6 |pages=402|doi=10.1504/ijbic.2015.073178|issn=1758-0366}}</ref>
|-
|-
|Moth-Flame Optimization
|Moth-Flame Optimization
Line 501: Line 501:
|Bio-inspired
|Bio-inspired
|2015
|2015
|<ref>{{Cite journal|last=Mirjalili|first=Seyedali|date=2015-11-01|title=Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm|url=http://www.sciencedirect.com/science/article/pii/S0950705115002580|journal=Knowledge-Based Systems|language=en|volume=89|pages=228–249|doi=10.1016/j.knosys.2015.07.006|issn=0950-7051}}</ref>
|<ref>{{Cite journal|last=Mirjalili|first=Seyedali|date=2015-11-01|title=Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm|journal=Knowledge-Based Systems|language=en|volume=89 |pages=228–249 |doi=10.1016/j.knosys.2015.07.006|issn=0950-7051}}</ref>
|-
|-
|Stochastic Fractal Search
|Stochastic Fractal Search
Line 508: Line 508:
|<nowiki>-</nowiki>
|<nowiki>-</nowiki>
|2015
|2015
|<ref>{{Cite journal|last=Salimi|first=Hamid|date=2015-02-01|title=Stochastic Fractal Search: A powerful metaheuristic algorithm|url=http://www.sciencedirect.com/science/article/pii/S0950705114002822|journal=Knowledge-Based Systems|language=en|volume=75|pages=1–18|doi=10.1016/j.knosys.2014.07.025|issn=0950-7051}}</ref>
|<ref>{{Cite journal|last=Salimi|first=Hamid|date=2015-02-01|title=Stochastic Fractal Search: A powerful metaheuristic algorithm|journal=Knowledge-Based Systems|language=en|volume=75|pages=1–18 |doi=10.1016/j.knosys.2014.07.025 |issn=0950-7051}}</ref>
|-
|-
|Vortex Search Algorithm
|Vortex Search Algorithm
Line 515: Line 515:
|Physics/Chemistry-based
|Physics/Chemistry-based
|2015
|2015
|<ref>{{Cite journal|last1=Doğan|first1=Berat|last2=Ölmez|first2=Tamer|date=2015-02-01|title=A new metaheuristic for numerical function optimization: Vortex Search algorithm|url=http://www.sciencedirect.com/science/article/pii/S0020025514008585|journal=Information Sciences|language=en|volume=293|pages=125–145|doi=10.1016/j.ins.2014.08.053|issn=0020-0255}}</ref>
|<ref>{{Cite journal|last1=Doğan|first1=Berat|last2=Ölmez|first2=Tamer|date=2015-02-01|title=A new metaheuristic for numerical function optimization: Vortex Search algorithm|journal=Information Sciences|language=en |volume=293 |pages=125–145|doi=10.1016/j.ins.2014.08.053|issn=0020-0255}}</ref>
|-
|-
|Water Wave Optimization
|Water Wave Optimization
Line 522: Line 522:
|Physics/Chemistry-based
|Physics/Chemistry-based
|2015
|2015
|<ref>{{Cite journal|last=Zheng|first=Yu-Jun|date=2015-03-01|title=Water wave optimization: A new nature-inspired metaheuristic|journal=Computers & Operations Research|language=en|volume=55|pages=1–11|doi=10.1016/j.cor.2014.10.008|issn=0305-0548|doi-access=free}}</ref>
|<ref>{{Cite journal|last=Zheng|first=Yu-Jun|date=2015-03-01|title=Water wave optimization: A new nature-inspired metaheuristic|journal=Computers & Operations Research|language=en|volume=55|pages=1–11 |doi=10.1016/j.cor.2014.10.008 |issn=0305-0548|doi-access=free}}</ref>
|-
|-
|Ant Lion Optimizer
|Ant Lion Optimizer
Line 529: Line 529:
|Bio-inspired
|Bio-inspired
|2015
|2015
|<ref>{{Cite journal|last=Mirjalili|first=Seyedali|date=2015-05-01|title=The Ant Lion Optimizer|url=http://www.sciencedirect.com/science/article/pii/S0965997815000113|journal=Advances in Engineering Software|language=en|volume=83|pages=80–98|doi=10.1016/j.advengsoft.2015.01.010|issn=0965-9978}}</ref>
|<ref>{{Cite journal|last=Mirjalili|first=Seyedali|date=2015-05-01|title=The Ant Lion Optimizer |journal=Advances in Engineering Software|language=en|volume=83|pages=80–98|doi=10.1016/j.advengsoft.2015.01.010|issn=0965-9978}}</ref>
|-
|-
|African Buffalo Optimization
|African Buffalo Optimization
Line 543: Line 543:
|Physics/Chemistry-based
|Physics/Chemistry-based
|2015
|2015
|<ref>{{Cite journal|last1=Shareef|first1=Hussain|last2=Ibrahim|first2=Ahmad Asrul|last3=Mutlag|first3=Ammar Hussein|date=2015-11-01|title=Lightning search algorithm|url=http://www.sciencedirect.com/science/article/pii/S1568494615004688|journal=Applied Soft Computing|language=en|volume=36|pages=315–333|doi=10.1016/j.asoc.2015.07.028|issn=1568-4946}}</ref>
|<ref>{{Cite journal|last1=Shareef|first1=Hussain|last2=Ibrahim|first2=Ahmad Asrul|last3=Mutlag|first3=Ammar Hussein|date=2015-11-01|title=Lightning search algorithm|journal=Applied Soft Computing|language=en|volume=36|pages=315–333|doi=10.1016/j.asoc.2015.07.028|issn=1568-4946}}</ref>
|-
|-
|Across Neighborhood Search
|Across Neighborhood Search
Line 550: Line 550:
|<nowiki>-</nowiki>
|<nowiki>-</nowiki>
|2016
|2016
|<ref>{{Cite journal|last=Wu|first=Guohua|date=2016-02-01|title=Across neighborhood search for numerical optimization|url=http://www.sciencedirect.com/science/article/pii/S0020025515007069|journal=Information Sciences|series=Special issue on Discovery Science|language=en|volume=329|pages=597–618|doi=10.1016/j.ins.2015.09.051|issn=0020-0255|arxiv=1401.3376|s2cid=25844630 }}</ref>
|<ref>{{Cite journal|last=Wu|first=Guohua|date=2016-02-01|title=Across neighborhood search for numerical optimization|journal=Information Sciences|series=Special issue on Discovery Science|language=en|volume=329|pages=597–618 |doi=10.1016/j.ins.2015.09.051|issn=0020-0255|arxiv=1401.3376|s2cid=25844630}}</ref>
|-
|-
|Crow Search Algorithm
|Crow Search Algorithm
Line 557: Line 557:
|Bio-inspired
|Bio-inspired
|2016
|2016
|<ref>{{Cite journal|last=Askarzadeh|first=Alireza|date=2016-06-01|title=A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm|url=http://www.sciencedirect.com/science/article/pii/S0045794916300475|journal=Computers & Structures|language=en|volume=169|pages=1–12|doi=10.1016/j.compstruc.2016.03.001|issn=0045-7949}}</ref>
|<ref>{{Cite journal|last=Askarzadeh|first=Alireza|date=2016-06-01|title=A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm|journal=Computers & Structures |language=en |volume=169|pages=1–12|doi=10.1016/j.compstruc.2016.03.001|issn=0045-7949}}</ref>
|-
|-
|Electromagnetic Field Optimization
|Electromagnetic Field Optimization
Line 564: Line 564:
|Physics/Chemistry-based
|Physics/Chemistry-based
|2016
|2016
|<ref>{{Cite journal|last1=Abedinpourshotorban|first1=Hosein|last2=Mariyam Shamsuddin|first2=Siti|last3=Beheshti|first3=Zahra|last4=Jawawi|first4=Dayang N. A.|date=2016-02-01|title=Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm|url=http://www.sciencedirect.com/science/article/pii/S2210650215000528|journal=Swarm and Evolutionary Computation|language=en|volume=26|pages=8–22|doi=10.1016/j.swevo.2015.07.002|issn=2210-6502}}</ref>
|<ref>{{Cite journal|last1=Abedinpourshotorban|first1=Hosein|last2=Mariyam Shamsuddin|first2=Siti|last3=Beheshti|first3=Zahra|last4=Jawawi|first4=Dayang N. A.|date=2016-02-01|title=Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm|journal=Swarm and Evolutionary Computation|language=en|volume=26|pages=8–22|doi=10.1016/j.swevo.2015.07.002|issn=2210-6502}}</ref>
|-
|-
|Joint Operations Algorithm
|Joint Operations Algorithm
Line 571: Line 571:
|Swarm-based
|Swarm-based
|2016
|2016
|<ref>{{Cite journal|last1=Sun|first1=Gaoji|last2=Zhao|first2=Ruiqing|last3=Lan|first3=Yanfei|date=2016-01-01|title=Joint operations algorithm for large-scale global optimization|url=http://www.sciencedirect.com/science/article/pii/S1568494615006894|journal=Applied Soft Computing|language=en|volume=38|pages=1025–1039|doi=10.1016/j.asoc.2015.10.047|issn=1568-4946}}</ref>
|<ref>{{Cite journal|last1=Sun|first1=Gaoji|last2=Zhao|first2=Ruiqing|last3=Lan|first3=Yanfei|date=2016-01-01|title=Joint operations algorithm for large-scale global optimization|journal=Applied Soft Computing|language=en|volume=38 |pages=1025–1039|doi=10.1016/j.asoc.2015.10.047|issn=1568-4946}}</ref>
|-
|-
|Lion Optimization Algorithm
|Lion Optimization Algorithm
Line 578: Line 578:
|Bio-inspired
|Bio-inspired
|2016
|2016
|<ref>{{Cite journal|last1=Yazdani|first1=Maziar|last2=Jolai|first2=Fariborz|date=2016-01-01|title=Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm|journal=Journal of Computational Design and Engineering|language=en|volume=3|issue=1|pages=24–36|doi=10.1016/j.jcde.2015.06.003|doi-access=free}}</ref>
|<ref>{{Cite journal|last1=Yazdani|first1=Maziar|last2=Jolai|first2=Fariborz|date=2016-01-01|title=Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm|journal=Journal of Computational Design and Engineering |language=en|volume=3|issue=1|pages=24–36|doi=10.1016/j.jcde.2015.06.003|doi-access=free}}</ref>
|-
|-
|Sine Cosine Algorithm
|Sine Cosine Algorithm
Line 585: Line 585:
|Physics/Chemistry-based
|Physics/Chemistry-based
|2016
|2016
|<ref>{{Cite journal|last=Mirjalili|first=Seyedali|date=2016-03-15|title=SCA: A Sine Cosine Algorithm for solving optimization problems|url=http://www.sciencedirect.com/science/article/pii/S0950705115005043|journal=Knowledge-Based Systems|language=en|volume=96|pages=120–133|doi=10.1016/j.knosys.2015.12.022|issn=0950-7051}}</ref>
|<ref>{{Cite journal|last=Mirjalili|first=Seyedali|date=2016-03-15|title=SCA: A Sine Cosine Algorithm for solving optimization problems|journal=Knowledge-Based Systems|language=en|volume=96|pages=120–133 |doi=10.1016/j.knosys.2015.12.022|issn=0950-7051}}</ref>
|-
|-
|Virus Colony Search
|Virus Colony Search
Line 592: Line 592:
|Bio-inspired
|Bio-inspired
|2016
|2016
|<ref>{{Cite journal|last1=Li|first1=Mu Dong|last2=Zhao|first2=Hui|last3=Weng|first3=Xing Wei|last4=Han|first4=Tong|date=2016-02-01|title=A novel nature-inspired algorithm for optimization: Virus colony search|url=http://www.sciencedirect.com/science/article/pii/S0965997815001702|journal=Advances in Engineering Software|language=en|volume=92|pages=65–88|doi=10.1016/j.advengsoft.2015.11.004|issn=0965-9978}}</ref>
|<ref>{{Cite journal|last1=Li|first1=Mu Dong|last2=Zhao|first2=Hui|last3=Weng|first3=Xing Wei|last4=Han|first4=Tong|date=2016-02-01|title=A novel nature-inspired algorithm for optimization: Virus colony search |journal=Advances in Engineering Software|language=en|volume=92|pages=65–88|doi=10.1016/j.advengsoft.2015.11.004|issn=0965-9978}}</ref>
|-
|-
|Whale Optimization Algorithm
|Whale Optimization Algorithm
Line 599: Line 599:
|Bio-inspired
|Bio-inspired
|2016
|2016
|<ref>{{Cite journal|last1=Mirjalili|first1=Seyedali|last2=Lewis|first2=Andrew|date=2016-05-01|title=The Whale Optimization Algorithm|url=http://www.sciencedirect.com/science/article/pii/S0965997816300163|journal=Advances in Engineering Software|language=en|volume=95|pages=51–67|doi=10.1016/j.advengsoft.2016.01.008|issn=0965-9978}}</ref>
|<ref>{{Cite journal|last1=Mirjalili|first1=Seyedali|last2=Lewis|first2=Andrew|date=2016-05-01|title=The Whale Optimization Algorithm|journal=Advances in Engineering Software|language=en|volume=95|pages=51–67 |doi=10.1016/j.advengsoft.2016.01.008|issn=0965-9978}}</ref>
|-
|-
|Red Deer Algorithm
|Red Deer Algorithm
Line 606: Line 606:
|Bio-inspired
|Bio-inspired
|2016
|2016
|<ref>{{Cite journal|last1=Fathollahi-Fard|first1=Amir Mohammad|last2=Hajiaghaei-Keshteli|first2=Mostafa|last3=Tavakkoli-Moghaddam|first3=Reza|date=2020-03-10|title=Red deer algorithm (RDA): a new nature-inspired meta-heuristic|url=https://doi.org/10.1007/s00500-020-04812-z|journal=Soft Computing|volume=24|issue=19|pages=14637–14665|language=en|doi=10.1007/s00500-020-04812-z|s2cid=215906392 |issn=1433-7479}}</ref>
|<ref>{{Cite journal|last1=Fathollahi-Fard|first1=Amir Mohammad|last2=Hajiaghaei-Keshteli|first2=Mostafa |last3=Tavakkoli-Moghaddam|first3=Reza|date=2020-03-10|title=Red deer algorithm (RDA): a new nature-inspired meta-heuristic |journal=Soft Computing|volume=24|issue=19|pages=14637–14665|language=en |doi=10.1007/s00500-020-04812-z|s2cid=215906392 |issn=1433-7479}}</ref>
|-
|-
|Phototropic Optimization Algorithm
|Phototropic Optimization Algorithm
Line 613: Line 613:
|Plant-based
|Plant-based
|2018
|2018
|<ref>{{Cite journal|last1=Vinod|first1=Chandra S S|last2=Anand|first2=Hareendran S|date=2021|title=Phototropic algorithm for global optimisation problems|url=https://link.springer.com/article/10.1007/s10489-020-02105-4|journal=Applied Intelligence|volume=51 |issue=8 |pages=5965–5977 |language=en|doi=10.1007/s10489-020-02105-4|s2cid=234211731 }}</ref>
|<ref>{{Cite journal|last1=Vinod|first1=Chandra S S|last2=Anand|first2=Hareendran S|date=2021|title=Phototropic algorithm for global optimisation problems |url=https://link.springer.com/article/10.1007/s10489-020-02105-4 |journal=Applied Intelligence |volume=51 |issue=8 |pages=5965–5977 |language=en |doi=10.1007/s10489-020-02105-4 |s2cid=234211731}}</ref>
|-
|-
|Coyote Optimization Algorithm
|Coyote Optimization Algorithm
Line 634: Line 634:
|Bio-inspired
|Bio-inspired
|2018
|2018
|<ref>{{Cite journal|last1=Jain|first1=Mohit|last2=Singh|first2=Vijander|last3=Rani|first3=Asha|date=2019-02-01|title=A novel nature-inspired algorithm for optimization: Squirrel search algorithm|url=http://www.sciencedirect.com/science/article/pii/S2210650217305229|journal=Swarm and Evolutionary Computation|language=en|volume=44|pages=148–175|doi=10.1016/j.swevo.2018.02.013|s2cid=58952523 |issn=2210-6502}}</ref>
|<ref>{{Cite journal|last1=Jain|first1=Mohit|last2=Singh|first2=Vijander|last3=Rani|first3=Asha|date=2019-02-01|title=A novel nature-inspired algorithm for optimization: Squirrel search algorithm|journal=Swarm and Evolutionary Computation|language=en|volume=44|pages=148–175|doi=10.1016/j.swevo.2018.02.013|s2cid=58952523 |issn=2210-6502}}</ref>
|-
|-
|Social Engineering Optimizer
|Social Engineering Optimizer
Line 641: Line 641:
|Human-based
|Human-based
|2018
|2018
|<ref>{{Cite journal |last=Fathollahi-Fard |first=Amir Mohammad |last2=Hajiaghaei-Keshteli |first2=Mostafa |last3=Tavakkoli-Moghaddam |first3=Reza |date=2018-06-01 |title=The Social Engineering Optimizer (SEO) |url=https://www.sciencedirect.com/science/article/pii/S0952197618300873 |journal=Engineering Applications of Artificial Intelligence |language=en |volume=72 |pages=267–293 |doi=10.1016/j.engappai.2018.04.009 |issn=0952-1976}}</ref>
|<ref>{{Cite journal |last=Fathollahi-Fard |first=Amir Mohammad |last2=Hajiaghaei-Keshteli |first2=Mostafa |last3=Tavakkoli-Moghaddam |first3=Reza |date=2018-06-01 |title=The Social Engineering Optimizer (SEO) |journal=Engineering Applications of Artificial Intelligence |language=en |volume=72 |pages=267–293 |doi=10.1016/j.engappai.2018.04.009 |issn=0952-1976}}</ref>
|-
|-
|Emperor Penguin Optimizer
|Emperor Penguin Optimizer
Line 648: Line 648:
|Bio-inspired
|Bio-inspired
|2018
|2018
|<ref name=":0">{{Cite journal |last1=Dhiman |first1=Gaurav |last2=Kumar |first2=Vijay |date=2018-06-15 |title=Emperor penguin optimizer: a bio-inspired algorithm for engineering problems |url=https://www.sciencedirect.com/science/article/abs/pii/S095070511830296X |journal=Knowledge-Based Systems |language=en |volume=159 |pages=20-50 |doi=https://doi.org/10.1016/j.knosys.2018.06.001}}</ref>
|<ref name=":0">{{Cite journal |last1=Dhiman |first1=Gaurav |last2=Kumar |first2=Vijay |date=2018-06-15 |title=Emperor penguin optimizer: a bio-inspired algorithm for engineering problems |journal=Knowledge-Based Systems |volume=159 |pages=20-50 |doi=10.1016/j.knosys.2018.06.001}}</ref>
|-
|-
|Future Search Algorithm
|Future Search Algorithm
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|Human-based
|Human-based
|2019
|2019
|<ref>{{Cite journal|last=Elsisi|first=M.|date=2019-03-01|title=Future search algorithm for optimization|url=https://doi.org/10.1007/s12065-018-0172-2|journal=Evolutionary Intelligence|language=en|volume=12|issue=1|pages=21–31|doi=10.1007/s12065-018-0172-2|s2cid=56702321|issn=1864-5917}}</ref>
|<ref>{{Cite journal|last=Elsisi|first=M.|date=2019-03-01|title=Future search algorithm for optimization |journal=Evolutionary Intelligence|language=en|volume=12|issue=1|pages=21–31|doi=10.1007/s12065-018-0172-2 |s2cid=56702321 |issn=1864-5917}}</ref>
|-
|-
|Emperor Penguins Colony
|Emperor Penguins Colony
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|Swarm-based
|Swarm-based
|2019
|2019
|<ref>{{Cite journal|last1=Harifi|first1=Sasan|last2=Khalilian|first2=Madjid|last3=Mohammadzadeh|first3=Javad|last4=Ebrahimnejad|first4=Sadoullah|date=2019-06-01|title=Emperor Penguins Colony: a new metaheuristic algorithm for optimization|journal=Evolutionary Intelligence|language=en|volume=12|issue=2|pages=211–226|doi=10.1007/s12065-019-00212-x|issn=1864-5917|doi-access=free}}</ref>
|<ref>{{Cite journal|last1=Harifi|first1=Sasan|last2=Khalilian|first2=Madjid|last3=Mohammadzadeh |first3=Javad|last4=Ebrahimnejad|first4=Sadoullah|date=2019-06-01|title=Emperor Penguins Colony: a new metaheuristic algorithm for optimization|journal=Evolutionary Intelligence|language=en|volume=12|issue=2 |pages=211–226|doi=10.1007/s12065-019-00212-x|issn=1864-5917|doi-access=free}}</ref>
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|-
|Thermal Exchange Optimization
|Thermal Exchange Optimization
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|Physics/Chemistry-based
|Physics/Chemistry-based
|2019
|2019
|<ref>{{Cite journal|last1=Kaveh|first1=A.|last2=Dadras|first2=A.|date=2017-08-01|title=A novel meta-heuristic optimization algorithm: Thermal exchange optimization|url=http://www.sciencedirect.com/science/article/pii/S0965997817300066|journal=Advances in Engineering Software|language=en|volume=110|pages=69–84|doi=10.1016/j.advengsoft.2017.03.014|issn=0965-9978}}</ref>
|<ref>{{Cite journal|last1=Kaveh|first1=A.|last2=Dadras|first2=A.|date=2017-08-01|title=A novel meta-heuristic optimization algorithm: Thermal exchange optimization|journal=Advances in Engineering Software |language=en|volume=110 |pages=69–84|doi=10.1016/j.advengsoft.2017.03.014|issn=0965-9978}}</ref>
|-
|-
|Harris Hawks Optimization
|Harris Hawks Optimization
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|Bio-inspired
|Bio-inspired
|2019
|2019
|<ref>{{Cite journal|last1=Heidari|first1=Ali Asghar|last2=Mirjalili|first2=Seyedali|last3=Faris|first3=Hossam|last4=Aljarah|first4=Ibrahim|last5=Mafarja|first5=Majdi|last6=Chen|first6=Huiling|date=2019-08-01|title=Harris hawks optimization: Algorithm and applications|url=http://www.sciencedirect.com/science/article/pii/S0167739X18313530|journal=Future Generation Computer Systems|language=en|volume=97|pages=849–872|doi=10.1016/j.future.2019.02.028|issn=0167-739X|hdl=10072/384262|s2cid=86457167 |hdl-access=free}}</ref>
|<ref>{{Cite journal|last1=Heidari|first1=Ali Asghar|last2=Mirjalili|first2=Seyedali|last3=Faris|first3=Hossam|last4=Aljarah|first4=Ibrahim|last5=Mafarja|first5=Majdi|last6=Chen|first6=Huiling|date=2019-08-01|title=Harris hawks optimization: Algorithm and applications|journal=Future Generation Computer Systems|language=en|volume=97|pages=849–872|doi=10.1016/j.future.2019.02.028|issn=0167-739X|hdl=10072/384262|s2cid=86457167 |hdl-access=free}}</ref>
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|Political Optimizer
|Political Optimizer
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|Human-based
|Human-based
|2020
|2020
|<ref>{{Cite journal|last1=Askari|first1=Qamar|last2=Younas|first2=Irfan|last3=Saeed|first3=Mehreen|date=2020-05-11|title=Political Optimizer: A novel socio-inspired meta-heuristic for global optimization|url=http://www.sciencedirect.com/science/article/pii/S0950705120301350|journal=Knowledge-Based Systems|language=en|volume=195|pages=105709|doi=10.1016/j.knosys.2020.105709|s2cid=215830598 |issn=0950-7051}}</ref>
|<ref>{{Cite journal|last1=Askari|first1=Qamar|last2=Younas|first2=Irfan|last3=Saeed|first3=Mehreen |date=2020-05-11|title=Political Optimizer: A novel socio-inspired meta-heuristic for global optimization |journal=Knowledge-Based Systems|language=en|volume=195|pages=105709|doi=10.1016/j.knosys.2020.105709 |s2cid=215830598|issn=0950-7051}}</ref>
|-
|-
|Heap-Based Optimizer
|Heap-Based Optimizer
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|Human-based
|Human-based
|2020
|2020
|<ref>{{Cite journal|last1=Askari|first1=Qamar|last2=Saeed|first2=Mehreen|last3=Younas|first3=Irfan|date=2020-07-18|title=Heap-based optimizer inspired by corporate rank hierarchy for global optimization|url=https://www.sciencedirect.com/science/article/abs/pii/S0957417420305261|journal=Expert Systems with Applications|language=en|volume=161|pages=113702|doi=10.1016/j.eswa.2020.113702|s2cid=225042569 |issn=0957-4174}}</ref>
|<ref>{{Cite journal|last1=Askari|first1=Qamar|last2=Saeed|first2=Mehreen|last3=Younas|first3=Irfan |date=2020-07-18|title=Heap-based optimizer inspired by corporate rank hierarchy for global optimization |journal=Expert Systems with Applications|language=en|volume=161|pages=113702 |doi=10.1016/j.eswa.2020.113702|s2cid=225042569|issn=0957-4174}}</ref>
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|Color Harmony Algorithm
|Color Harmony Algorithm
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| Color-based
| Color-based
|2020
|2020
|<ref>{{Cite journal|last1=Zaeimi|first1=Mohammad|last2=Ghoddosian|first2=Ali|date=2020-08-01|title=Color harmony algorithm: an art-inspired metaheuristic for mathematical function optimization|url=https://doi.org/10.1007/s00500-019-04646-4|journal=Soft Computing|language=en|volume=24|issue=16|pages=12027–12066|doi=10.1007/s00500-019-04646-4|s2cid=209543050|issn=1433-7479}}</ref>
|<ref>{{Cite journal|last1=Zaeimi|first1=Mohammad|last2=Ghoddosian|first2=Ali|date=2020-08-01|title=Color harmony algorithm: an art-inspired metaheuristic for mathematical function optimization|journal=Soft Computing |language=en |volume=24|issue=16|pages=12027–12066|doi=10.1007/s00500-019-04646-4|s2cid=209543050|issn=1433-7479}}</ref>
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|Stochastic Paint Optimizer
|Stochastic Paint Optimizer
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|<nowiki>-</nowiki>
|<nowiki>-</nowiki>
|2020
|2020
|<ref>{{Cite journal|last1=Harifi|first1=Sasan|last2=Mohammadzadeh|first2=Javad|last3=Khalilian|first3=Madjid|last4=Ebrahimnejad|first4=Sadoullah|date=2020-07-13|title=Giza Pyramids Construction: an ancient-inspired metaheuristic algorithm for optimization|url=https://doi.org/10.1007/s12065-020-00451-3|journal=Evolutionary Intelligence|volume=14 |issue=4 |pages=1743–1761 |language=en|doi=10.1007/s12065-020-00451-3|s2cid=220512280|issn=1864-5917}}</ref>
|<ref>{{Cite journal|last1=Harifi|first1=Sasan|last2=Mohammadzadeh|first2=Javad|last3=Khalilian |first3=Madjid|last4=Ebrahimnejad|first4=Sadoullah|date=2020-07-13|title=Giza Pyramids Construction: an ancient-inspired metaheuristic algorithm for optimization|journal=Evolutionary Intelligence|volume=14 |issue=4 |pages=1743–1761 |language=en|doi=10.1007/s12065-020-00451-3|s2cid=220512280|issn=1864-5917}}</ref>
|}
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Revision as of 15:38, 29 August 2022

This is a chronological table of metaheuristic algorithms that only contains fundamental algorithms. Hybrid algorithms and multi-objective algorithms are not listed in the table below.

Categories

  • Evolutionary-based
  • Trajectory-based
  • Nature-inspired
    • Swarm-based
    • Bio-inspired
    • Physics/Chemistry-based
    • Human-based
    • Plant-based
  • Art-inspired
  • Ancient-inspired

The table

Name Abbreviation Main category Subcategory Year published Ref.
Simulated Annealing SA Trajectory-based - 1983 [1]
Tabu Search TS Trajectory-based - 1989 [2]
Genetic Algorithm GA Evolutionary-based - 1992 [3]
Evolutionary Algorithm EA Evolutionary-based - 1994
Cultural Algorithm CA 1994 [4]
Particle Swarm Optimization PSO Nature-inspired Swarm-based 1995 [5]
Differential Evaluation DE Evolutionary-based - 1997 [6]
Local Search LS 1997
Variable Neighborhood Search VNS Trajectory-based - 1997 [7]
Guided Local Search GLS Trajectory-based - 1998 [8]
Clonal Selection Algorithm CSA Evolutionary-based - 2000 [9]
Harmony Search HS Evolutionary-based - 2001 [10]
Memetic Algorithm MA Evolutionary-based - 2002
Iterative Local Search ILS Trajectory-based - 2003 [11]
Artificial Bee Colony ABC Nature-inspired Bio-inspired 2005 [12]
Ant Colony Optimization ACO Nature-inspired Bio-inspired 2006 [13]
Glowworm Swarm Optimization GSO Nature-inspired Swarm-based 2006 [14]
Shuffled Frog Leaping Algorithm SFLA Nature-inspired Bio-inspired 2006 [15]
Invasive Weed Optimization IWO Nature-inspired Plant-based 2006 [16]
Seeker Optimization Algorithm SOA Nature-inspired Human-based 2006 [17]
Imperialistic Competitive Algorithm ICA Nature-inspired Human-based 2007 [18]
Central Force Optimization CFO 2007 [19]
Biogeography Based Optimization BBO Nature-inspired Human-based 2008 [20]
Firefly Algorithm FA Nature-inspired Bio-inspired 2008 [21]
Intelligent Water Drops IWD Nature-inspired Swarm-based 2008 [22]
Monkey Algorithm MA Nature-inspired Bio-inspired 2008 [23]
Cuckoo Search CS Nature-inspired Bio-inspired 2009 [24]
Group Search Optimizer GSO Nature-inspired Swarm-based 2009 [25]
Key Cutting Algorithm KCA 2009 [26]
Hunting Search HS Nature-inspired Swarm-based 2009 [27]
Chemical Reaction Optimization CRO Nature-inspired Physics/Chemistry-based 2009 [28]
Bat Algorithm BA Nature-inspired Bio-inspired 2010 [29]
Charged System Search CSS Nature-inspired Physics/Chemistry-based 2010 [30]
Eagle Strategy ES Nature-inspired 2010
Fireworks Algorithm FWA 2010 [31]
Cuckoo Optimization Algorithm COA Nature-inspired Bio-inspired 2011 [32]
Stochastic Diffusion Search SDS 2011
Teaching-Learning-Based Optimization TLBO 2011 [33]
Bacterial Colony Optimization BCO 2012 [34]
Fruit Fly Optimization FFO 2012
Krill Herd Algorithm KHA Nature-inspired Bio-inspired 2012 [35]
Migrating Birds Optimization MBO Nature-inspired Swarm-based 2012 [36]
Water Cycle Algorithm WCA 2012
Backtracking Search Algorithm BSA Evolutionary-based - 2013 [37]
Black Hole Algorithm BH Nature-inspired Physics/Chemistry-based 2013 [38]
Dolphin Echolocation DE Nature-inspired Bio-inspired 2013 [39]
Animal Migration Optimization AMO Nature-inspired Swarm-based 2013 [40]
Keshtel Algorithm KA Nature-inspired 2014 [41]
SDA Optimization Algorithm SDA Nature-inspired Bio-inspired 2014 [42]
Artificial Root Foraging Algorithm ARFA Nature-inspired Plant-based 2014 [43]
Bumble Bees Mating Optimization BBMO 2014
Chicken Swarm Optimization CSO Nature-inspired Bio-inspired 2014 [44]
Colliding Bodies Optimization CBO 2014 [45]
Coral Reefs Optimization Algorithm CROA 2014
Flower Pollination Algorithm FPA Nature-inspired Plant-based 2014 [46]
Radial Movement Optimization RMO Nature-inspired Swarm-based 2014 [47]
Spider Monkey Optimization SMO Nature-inspired Bio-inspired 2014 [48]
Artificial Algae Algorithm AAA 2015 [49]
Adaptive Dimensional Search ADS 2015
Alienated Ant Algorithm AAA 2015
Artificial Fish Swarm Algorithm AFSA Nature-inspired 2015
Bottlenose Dolphin Optimization BDO Nature-inspired 2015 [50]
Cricket Algorithm CA 2015 [51]
Elephant Search Algorithm ESA Nature-inspired Bio-inspired 2015 [52]
Grey Wolf Optimizer GWO Nature-inspired Bio-inspired 2015 [53]
Jaguar Algorithm JA Nature-inspired Bio-inspired 2015 [54]
Locust Swarm Algorithm LSA Nature-inspired Swarm-based 2015 [55]
Moth-Flame Optimization MFO Nature-inspired Bio-inspired 2015 [56]
Stochastic Fractal Search SFF Evolutionary-based - 2015 [57]
Vortex Search Algorithm VSA Nature-inspired Physics/Chemistry-based 2015 [58]
Water Wave Optimization WWA Nature-inspired Physics/Chemistry-based 2015 [59]
Ant Lion Optimizer ALO Nature-inspired Bio-inspired 2015 [60]
African Buffalo Optimization ABO Nature-inspired Swarm-based 2015 [61]
Lightning Search Algorithm LSA Nature-inspired Physics/Chemistry-based 2015 [62]
Across Neighborhood Search ANS Evolutionary-based - 2016 [63]
Crow Search Algorithm CSA Nature-inspired Bio-inspired 2016 [64]
Electromagnetic Field Optimization EFO Nature-inspired Physics/Chemistry-based 2016 [65]
Joint Operations Algorithm JOA Nature-inspired Swarm-based 2016 [66]
Lion Optimization Algorithm LOA Nature-inspired Bio-inspired 2016 [67]
Sine Cosine Algorithm SCA Nature-inspired Physics/Chemistry-based 2016 [68]
Virus Colony Search VCS Nature-inspired Bio-inspired 2016 [69]
Whale Optimization Algorithm WOA Nature-inspired Bio-inspired 2016 [70]
Red Deer Algorithm RDA Nature-inspired Bio-inspired 2016 [71]
Phototropic Optimization Algorithm POA Nature-inspired Plant-based 2018 [72]
Coyote Optimization Algorithm COA Nature-inspired Swarm-based 2018 [73]
Owl Search Algorithm OSA Nature-inspired Bio-inspired 2018 [74]
Squirrel Search Algorithm SSA Nature-inspired Bio-inspired 2018 [75]
Social Engineering Optimizer SEO Nature-inspired Human-based 2018 [76]
Emperor Penguin Optimizer EPO Nature-inspired Bio-inspired 2018 [77]
Future Search Algorithm FSA Nature-inspired Human-based 2019 [78]
Emperor Penguins Colony EPC Nature-inspired Swarm-based 2019 [79]
Thermal Exchange Optimization TEO Nature-inspired Physics/Chemistry-based 2019 [80]
Harris Hawks Optimization HHO Nature-inspired Bio-inspired 2019 [81]
Political Optimizer PO Nature-inspired Human-based 2020 [82]
Heap-Based Optimizer HBO Nature-inspired Human-based 2020 [83]
Color Harmony Algorithm CHA Art-inspired Color-based 2020 [84]
Stochastic Paint Optimizer SPO Art-inspired Color-based 2020 [85]
Giza Pyramids Construction GPC Ancient-inspired - 2020 [86]

References

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  36. ^ Duman, Ekrem; Uysal, Mitat; Alkaya, Ali Fuat (2012-12-25). "Migrating Birds Optimization: A new metaheuristic approach and its performance on quadratic assignment problem". Information Sciences. 217: 65–77. doi:10.1016/j.ins.2012.06.032. ISSN 0020-0255.
  37. ^ Civicioglu, Pinar (2013-04-01). "Backtracking Search Optimization Algorithm for numerical optimization problems". Applied Mathematics and Computation. 219 (15): 8121–8144. doi:10.1016/j.amc.2013.02.017. ISSN 0096-3003.
  38. ^ Hatamlou, Abdolreza (2013-02-10). "Black hole: A new heuristic optimization approach for data clustering". Information Sciences. Including Special Section on New Trends in Ambient Intelligence and Bio-inspired Systems. 222: 175–184. doi:10.1016/j.ins.2012.08.023. ISSN 0020-0255.
  39. ^ Kaveh, A.; Farhoudi, N. (2013-05-01). "A new optimization method: Dolphin echolocation". Advances in Engineering Software. 59: 53–70. doi:10.1016/j.advengsoft.2013.03.004. ISSN 0965-9978.
  40. ^ Li, Xiangtao; Zhang, Jie; Yin, Minghao (2014-06-01). "Animal migration optimization: an optimization algorithm inspired by animal migration behavior". Neural Computing and Applications. 24 (7): 1867–1877. doi:10.1007/s00521-013-1433-8. ISSN 1433-3058. S2CID 4362350.
  41. ^ Chandra S S, Vinod (2014-03-01). "Solving the integrated scheduling of production and rail transportation problem by Keshtel algorithm". Applied Soft Computing. 25 (3): 184–203. doi:10.1016/j.asoc.2014.09.034. ISSN 1568-4946.
  42. ^ Chandra, Vinod (2014-03-01). "Smell Detection Agent Based Optimization Algorithm". J. Inst. Eng. India Ser. B. 97 (3): 431–436. doi:10.1007/s40031-014-0182-0.
  43. ^ Ma, Lianbo; Hu, Kunyuan; Zhu, Yunlong; Chen, Hanning; He, Maowei (2014). "A Novel Plant Root Foraging Algorithm for Image Segmentation Problems". Mathematical Problems in Engineering. 2014: 1–16. doi:10.1155/2014/471209. ISSN 1024-123X.
  44. ^ Meng, Xianbing; Liu, Yu; Gao, Xiaozhi; Zhang, Hengzhen (2014). "A New Bio-inspired Algorithm: Chicken Swarm Optimization". In Tan, Ying; Shi, Yuhui; Coello, Carlos A. Coello (eds.). Advances in Swarm Intelligence. Lecture Notes in Computer Science. Vol. 8794. Cham: Springer International Publishing. pp. 86–94. doi:10.1007/978-3-319-11857-4_10. ISBN 978-3-319-11857-4.
  45. ^ Kaveh, A.; Mahdavi, V. R. (2014-07-15). "Colliding bodies optimization: A novel meta-heuristic method". Computers & Structures. 139: 18–27. doi:10.1016/j.compstruc.2014.04.005. ISSN 0045-7949.
  46. ^ Yang, Xin-She (2012). "Flower Pollination Algorithm for Global Optimization". In Durand-Lose, Jérôme; Jonoska, Nataša (eds.). Unconventional Computation and Natural Computation. Lecture Notes in Computer Science. Vol. 7445. Berlin, Heidelberg: Springer Berlin Heidelberg. pp. 240–249. doi:10.1007/978-3-642-32894-7_27. ISBN 978-3-642-32893-0.
  47. ^ Rahmani, Rasoul; Yusof, Rubiyah (2014-12-01). "A new simple, fast and efficient algorithm for global optimization over continuous search-space problems: Radial Movement Optimization". Applied Mathematics and Computation. 248: 287–300. doi:10.1016/j.amc.2014.09.102. ISSN 0096-3003.
  48. ^ Bansal, Jagdish Chand; Sharma, Harish; Jadon, Shimpi Singh; Clerc, Maurice (2014-03-01). "Spider Monkey Optimization algorithm for numerical optimization". Memetic Computing. 6 (1): 31–47. doi:10.1007/s12293-013-0128-0. ISSN 1865-9292. S2CID 5714781.
  49. ^ Uymaz, Sait Ali; Tezel, Gulay; Yel, Esra (2015-06-01). "Artificial algae algorithm (AAA) for nonlinear global optimization". Applied Soft Computing. 31: 153–171. doi:10.1016/j.asoc.2015.03.003. ISSN 1568-4946.
  50. ^ Srivastava, Abhishek; Das, Dushmanta Kumar (2022-05-11). "A bottlenose dolphin optimizer: An application to solve dynamic emission economic dispatch problem in the microgrid". Knowledge-Based Systems. 243: 108455. doi:10.1016/j.knosys.2022.108455. ISSN 0950-7051.
  51. ^ Canayaz, Murat; Karci, Ali (2016-03-01). "Cricket behaviour-based evolutionary computation technique in solving engineering optimization problems". Applied Intelligence. 44 (2): 362–376. doi:10.1007/s10489-015-0706-6. ISSN 1573-7497. S2CID 16194679.
  52. ^ Deb, Suash; Fong, Simon; Tian, Zhonghuan (October 2015). "Elephant Search Algorithm for optimization problems". 2015 Tenth International Conference on Digital Information Management (ICDIM): 249–255. doi:10.1109/ICDIM.2015.7381893. ISBN 978-1-4673-9152-8. S2CID 2460217.
  53. ^ Mirjalili, Seyedali; Mirjalili, Seyed Mohammad; Lewis, Andrew (2014-03-01). "Grey Wolf Optimizer". Advances in Engineering Software. 69: 46–61. doi:10.1016/j.advengsoft.2013.12.007. hdl:10072/66188. ISSN 0965-9978.
  54. ^ Chen, Chin-Chi; Tsai, Yung-Che; Liu, I-I; Lai, Chia-Chun; Yeh, Yi-Ting; Kuo, Shu-Yu; Chou, Yao-Hsin (October 2015). "A Novel Metaheuristic: Jaguar Algorithm with Learning Behavior". 2015 IEEE International Conference on Systems, Man, and Cybernetics: 1595–1600. doi:10.1109/SMC.2015.282. ISBN 978-1-4799-8697-2. S2CID 11932094.
  55. ^ Cuevas, Erik; González, Adrián; Zaldívar, Daniel; Cisneros, Marco Pérez (2015). "An optimisation algorithm based on the behaviour of locust swarms". International Journal of Bio-Inspired Computation. 7 (6): 402. doi:10.1504/ijbic.2015.073178. ISSN 1758-0366.
  56. ^ Mirjalili, Seyedali (2015-11-01). "Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm". Knowledge-Based Systems. 89: 228–249. doi:10.1016/j.knosys.2015.07.006. ISSN 0950-7051.
  57. ^ Salimi, Hamid (2015-02-01). "Stochastic Fractal Search: A powerful metaheuristic algorithm". Knowledge-Based Systems. 75: 1–18. doi:10.1016/j.knosys.2014.07.025. ISSN 0950-7051.
  58. ^ Doğan, Berat; Ölmez, Tamer (2015-02-01). "A new metaheuristic for numerical function optimization: Vortex Search algorithm". Information Sciences. 293: 125–145. doi:10.1016/j.ins.2014.08.053. ISSN 0020-0255.
  59. ^ Zheng, Yu-Jun (2015-03-01). "Water wave optimization: A new nature-inspired metaheuristic". Computers & Operations Research. 55: 1–11. doi:10.1016/j.cor.2014.10.008. ISSN 0305-0548.
  60. ^ Mirjalili, Seyedali (2015-05-01). "The Ant Lion Optimizer". Advances in Engineering Software. 83: 80–98. doi:10.1016/j.advengsoft.2015.01.010. ISSN 0965-9978.
  61. ^ Odili, Julius Beneoluchi; Kahar, Mohd Nizam Mohmad; Anwar, Shahid (2015-01-01). "African Buffalo Optimization: A Swarm-Intelligence Technique". Procedia Computer Science. 2015 IEEE International Symposium on Robotics and Intelligent Sensors (IEEE IRIS2015). 76: 443–448. doi:10.1016/j.procs.2015.12.291. ISSN 1877-0509.
  62. ^ Shareef, Hussain; Ibrahim, Ahmad Asrul; Mutlag, Ammar Hussein (2015-11-01). "Lightning search algorithm". Applied Soft Computing. 36: 315–333. doi:10.1016/j.asoc.2015.07.028. ISSN 1568-4946.
  63. ^ Wu, Guohua (2016-02-01). "Across neighborhood search for numerical optimization". Information Sciences. Special issue on Discovery Science. 329: 597–618. arXiv:1401.3376. doi:10.1016/j.ins.2015.09.051. ISSN 0020-0255. S2CID 25844630.
  64. ^ Askarzadeh, Alireza (2016-06-01). "A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm". Computers & Structures. 169: 1–12. doi:10.1016/j.compstruc.2016.03.001. ISSN 0045-7949.
  65. ^ Abedinpourshotorban, Hosein; Mariyam Shamsuddin, Siti; Beheshti, Zahra; Jawawi, Dayang N. A. (2016-02-01). "Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm". Swarm and Evolutionary Computation. 26: 8–22. doi:10.1016/j.swevo.2015.07.002. ISSN 2210-6502.
  66. ^ Sun, Gaoji; Zhao, Ruiqing; Lan, Yanfei (2016-01-01). "Joint operations algorithm for large-scale global optimization". Applied Soft Computing. 38: 1025–1039. doi:10.1016/j.asoc.2015.10.047. ISSN 1568-4946.
  67. ^ Yazdani, Maziar; Jolai, Fariborz (2016-01-01). "Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm". Journal of Computational Design and Engineering. 3 (1): 24–36. doi:10.1016/j.jcde.2015.06.003.
  68. ^ Mirjalili, Seyedali (2016-03-15). "SCA: A Sine Cosine Algorithm for solving optimization problems". Knowledge-Based Systems. 96: 120–133. doi:10.1016/j.knosys.2015.12.022. ISSN 0950-7051.
  69. ^ Li, Mu Dong; Zhao, Hui; Weng, Xing Wei; Han, Tong (2016-02-01). "A novel nature-inspired algorithm for optimization: Virus colony search". Advances in Engineering Software. 92: 65–88. doi:10.1016/j.advengsoft.2015.11.004. ISSN 0965-9978.
  70. ^ Mirjalili, Seyedali; Lewis, Andrew (2016-05-01). "The Whale Optimization Algorithm". Advances in Engineering Software. 95: 51–67. doi:10.1016/j.advengsoft.2016.01.008. ISSN 0965-9978.
  71. ^ Fathollahi-Fard, Amir Mohammad; Hajiaghaei-Keshteli, Mostafa; Tavakkoli-Moghaddam, Reza (2020-03-10). "Red deer algorithm (RDA): a new nature-inspired meta-heuristic". Soft Computing. 24 (19): 14637–14665. doi:10.1007/s00500-020-04812-z. ISSN 1433-7479. S2CID 215906392.
  72. ^ Vinod, Chandra S S; Anand, Hareendran S (2021). "Phototropic algorithm for global optimisation problems". Applied Intelligence. 51 (8): 5965–5977. doi:10.1007/s10489-020-02105-4. S2CID 234211731.
  73. ^ Pierezan, Juliano; Dos Santos Coelho, Leandro (July 2018). "Coyote Optimization Algorithm: A New Metaheuristic for Global Optimization Problems". 2018 IEEE Congress on Evolutionary Computation (CEC): 1–8. doi:10.1109/CEC.2018.8477769. ISBN 978-1-5090-6017-7. S2CID 52932771.
  74. ^ Jain, Mohit; Maurya, Shubham; Rani, Asha; Singh, Vijander (2018-03-22). Thampi, Sabu M.; El-Alfy, El-Sayed M.; Mitra, Sushmita; Trajkovic, Ljiljana (eds.). "Owl search algorithm: A novel nature-inspired heuristic paradigm for global optimization". Journal of Intelligent & Fuzzy Systems. 34 (3): 1573–1582. doi:10.3233/JIFS-169452.
  75. ^ Jain, Mohit; Singh, Vijander; Rani, Asha (2019-02-01). "A novel nature-inspired algorithm for optimization: Squirrel search algorithm". Swarm and Evolutionary Computation. 44: 148–175. doi:10.1016/j.swevo.2018.02.013. ISSN 2210-6502. S2CID 58952523.
  76. ^ Fathollahi-Fard, Amir Mohammad; Hajiaghaei-Keshteli, Mostafa; Tavakkoli-Moghaddam, Reza (2018-06-01). "The Social Engineering Optimizer (SEO)". Engineering Applications of Artificial Intelligence. 72: 267–293. doi:10.1016/j.engappai.2018.04.009. ISSN 0952-1976.
  77. ^ Dhiman, Gaurav; Kumar, Vijay (2018-06-15). "Emperor penguin optimizer: a bio-inspired algorithm for engineering problems". Knowledge-Based Systems. 159: 20–50. doi:10.1016/j.knosys.2018.06.001.
  78. ^ Elsisi, M. (2019-03-01). "Future search algorithm for optimization". Evolutionary Intelligence. 12 (1): 21–31. doi:10.1007/s12065-018-0172-2. ISSN 1864-5917. S2CID 56702321.
  79. ^ Harifi, Sasan; Khalilian, Madjid; Mohammadzadeh, Javad; Ebrahimnejad, Sadoullah (2019-06-01). "Emperor Penguins Colony: a new metaheuristic algorithm for optimization". Evolutionary Intelligence. 12 (2): 211–226. doi:10.1007/s12065-019-00212-x. ISSN 1864-5917.
  80. ^ Kaveh, A.; Dadras, A. (2017-08-01). "A novel meta-heuristic optimization algorithm: Thermal exchange optimization". Advances in Engineering Software. 110: 69–84. doi:10.1016/j.advengsoft.2017.03.014. ISSN 0965-9978.
  81. ^ Heidari, Ali Asghar; Mirjalili, Seyedali; Faris, Hossam; Aljarah, Ibrahim; Mafarja, Majdi; Chen, Huiling (2019-08-01). "Harris hawks optimization: Algorithm and applications". Future Generation Computer Systems. 97: 849–872. doi:10.1016/j.future.2019.02.028. hdl:10072/384262. ISSN 0167-739X. S2CID 86457167.
  82. ^ Askari, Qamar; Younas, Irfan; Saeed, Mehreen (2020-05-11). "Political Optimizer: A novel socio-inspired meta-heuristic for global optimization". Knowledge-Based Systems. 195: 105709. doi:10.1016/j.knosys.2020.105709. ISSN 0950-7051. S2CID 215830598.
  83. ^ Askari, Qamar; Saeed, Mehreen; Younas, Irfan (2020-07-18). "Heap-based optimizer inspired by corporate rank hierarchy for global optimization". Expert Systems with Applications. 161: 113702. doi:10.1016/j.eswa.2020.113702. ISSN 0957-4174. S2CID 225042569.
  84. ^ Zaeimi, Mohammad; Ghoddosian, Ali (2020-08-01). "Color harmony algorithm: an art-inspired metaheuristic for mathematical function optimization". Soft Computing. 24 (16): 12027–12066. doi:10.1007/s00500-019-04646-4. ISSN 1433-7479. S2CID 209543050.
  85. ^ Kaveh, Ali; Talatahari, Siamak; Khodadadi, Nima (2020). "Stochastic Paint Optimizer: theory and application in civil engineering". Engineering with Computers. 38 (3): 1921–1952. doi:10.1007/s00366-020-01179-5. ISSN 0177-0667. S2CID 225121551.
  86. ^ Harifi, Sasan; Mohammadzadeh, Javad; Khalilian, Madjid; Ebrahimnejad, Sadoullah (2020-07-13). "Giza Pyramids Construction: an ancient-inspired metaheuristic algorithm for optimization". Evolutionary Intelligence. 14 (4): 1743–1761. doi:10.1007/s12065-020-00451-3. ISSN 1864-5917. S2CID 220512280.
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