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|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|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>
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|Seeker Optimization Algorithm
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|SOA
|Nature-inspired
|Human-based
|2006
|<ref>{{Cite journal |last=Dai |first=Chaohua |last2=Zhu |first2=Yunfang |last3=Chen |first3=Weirong |date=2007 |editor-last=Wang |editor-first=Yuping |editor2-last=Cheung |editor2-first=Yiu-ming |editor3-last=Liu |editor3-first=Hailin |title=Seeker Optimization Algorithm |url=https://link.springer.com/chapter/10.1007/978-3-540-74377-4_18 |journal=Computational Intelligence and Security |language=en |location=Berlin, Heidelberg |publisher=Springer |pages=167–176 |doi=10.1007/978-3-540-74377-4_18 |isbn=978-3-540-74377-4}}</ref>
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|Imperialistic Competitive Algorithm
|Imperialistic Competitive Algorithm
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|2007
|2007
|<ref>{{Cite journal|last1=Atashpaz-Gargari|first1=Esmaeil|last2=Lucas|first2=Caro|date=September 2007|title=Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition|url=https://ieeexplore.ieee.org/document/4425083|journal=2007 IEEE Congress on Evolutionary Computation|pages=4661–4667|doi=10.1109/CEC.2007.4425083|isbn=978-1-4244-1339-3|s2cid=2736579}}</ref>
|<ref>{{Cite journal|last1=Atashpaz-Gargari|first1=Esmaeil|last2=Lucas|first2=Caro|date=September 2007|title=Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition|url=https://ieeexplore.ieee.org/document/4425083|journal=2007 IEEE Congress on Evolutionary Computation|pages=4661–4667|doi=10.1109/CEC.2007.4425083|isbn=978-1-4244-1339-3|s2cid=2736579}}</ref>
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|-
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|Central Force Optimization
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|CFO
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|
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|
|2007
|<ref>{{Cite journal |last=Formato |first=Richard |date=2007 |title=Central Force Optimization: a New Metaheuristic with Applications in Applied Electromagnetics |url=http://www.jpier.org/PIER/pier.php?paper=07082403 |journal=Progress In Electromagnetics Research |language=English |volume=77 |pages=425–491 |doi=10.2528/PIER07082403 |issn=1070-4698}}</ref>
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|Biogeography Based Optimization
|Biogeography Based Optimization
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|Bio-inspired
|Bio-inspired
|2008
|2008
|<ref>Zhao R Q, Tang W S. Monkey algorithm for global numerical optimization. Journal of Uncertain Systems. 2008,2 (3):164-175.</ref>
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|Cuckoo Search
|Cuckoo Search
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|
|
|2009
|2009
|<ref>{{Cite journal |last=Qin |first=Jing |date=2009-11 |title=A new optimization algorithm and its application — Key cutting algorithm |url=https://ieeexplore.ieee.org/document/5408158/ |journal=2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009) |pages=1537–1541 |doi=10.1109/GSIS.2009.5408158}}</ref>
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|Hunting Search
|Hunting Search
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|Chicken Swarm Optimization
|Chicken Swarm Optimization
|CSO
|CSO
|Nature-inspired
|
|Bio-inspired
|
|2014
|2014
|<ref>{{Cite journal |last=Meng |first=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 |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>
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|Colliding Bodies Optimization
|Colliding Bodies Optimization
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|Radial Movement Optimization
|Radial Movement Optimization
|RMO
|RMO
|Nature-inspired
|
|Swarm-based
|
|2014
|2014
|<ref>{{Cite journal |last=Rahmani |first=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>
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|Seeker Optimization Algorithm
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|SOA
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|2014
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|Spider Monkey Optimization
|Spider Monkey Optimization
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|BDO
|BDO
|Nature-inspired
|Nature-inspired
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|2015
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|Central Force Optimization
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|CFO
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|2015
|2015

Revision as of 09:11, 7 July 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
Evolutionary Algorithm EA Evolutionary-based - 1994
Cultural Algorithm CA 1994 [3]
Particle Swarm Optimization PSO Nature-inspired Swarm-based 1995 [4]
Differential Evaluation DE Evolutionary-based - 1997 [5]
Local Search LS 1997
Variable Neighborhood Search VNS Trajectory-based - 1997 [6]
Guided Local Search GLS Trajectory-based - 1998 [7]
Clonal Selection Algorithm CSA Evolutionary-based - 2000 [8]
Harmony Search HS Evolutionary-based - 2001 [9]
Memetic Algorithm MA Evolutionary-based - 2002
Iterative Local Search ILS Trajectory-based - 2003 [10]
Artificial Bee Colony ABC Nature-inspired Bio-inspired 2005 [11]
Ant Colony Optimization ACO Nature-inspired Bio-inspired 2006 [12]
Glowworm Swarm Optimization GSO Nature-inspired Swarm-based 2006 [13]
Shuffled Frog Leaping Algorithm SFLA Nature-inspired Bio-inspired 2006 [14]
Invasive Weed Optimization IWO Nature-inspired Plant-based 2006 [15]
Seeker Optimization Algorithm SOA Nature-inspired Human-based 2006 [16]
Imperialistic Competitive Algorithm ICA Nature-inspired Human-based 2007 [17]
Central Force Optimization CFO 2007 [18]
Biogeography Based Optimization BBO Nature-inspired Human-based 2008 [19]
Firefly Algorithm FA Nature-inspired Bio-inspired 2008 [20]
Intelligent Water Drops IWD Nature-inspired Swarm-based 2008 [21]
Monkey Algorithm MA Nature-inspired Bio-inspired 2008 [22]
Cuckoo Search CS Nature-inspired Bio-inspired 2009 [23]
Group Search Optimizer GSO Nature-inspired Swarm-based 2009 [24]
Key Cutting Algorithm KCA 2009 [25]
Hunting Search HS Nature-inspired Swarm-based 2009 [26]
Chemical Reaction Optimization CRO Nature-inspired Physics/Chemistry-based 2009 [27]
Bat Algorithm BA Nature-inspired Bio-inspired 2010 [28]
Charged System Search CSS Nature-inspired Physics/Chemistry-based 2010 [29]
Eagle Strategy ES Nature-inspired 2010
Fireworks Algorithm FWA 2010
Cuckoo Optimization Algorithm COA Nature-inspired Bio-inspired 2011 [30]
Stochastic Diffusion Search SDS 2011
Teaching-Learning-Based Optimization TLBO 2011 [31]
Bacterial Colony Optimization BCO 2012 [32]
Fruit Fly Optimization FFO 2012
Krill Herd Algorithm KHA Nature-inspired Bio-inspired 2012 [33]
Migrating Birds Optimization MBO Nature-inspired Swarm-based 2012 [34]
Water Cycle Algorithm WCA 2012
Backtracking Search Algorithm BSA Evolutionary-based - 2013 [35]
Black Hole Algorithm BH Nature-inspired Physics/Chemistry-based 2013 [36]
Dolphin Echolocation DE Nature-inspired Bio-inspired 2013 [37]
Animal Migration Optimization AMO Nature-inspired Swarm-based 2013 [38]
Keshtel Algorithm KA Nature-inspired 2014 [39]
SDA Optimization Algorithm SDA Nature-inspired Bio-inspired 2014 [40]
Artificial Root Foraging Algorithm ARFA Nature-inspired Plant-based 2014 [41]
Bumble Bees Mating Optimization BBMO 2014
Chicken Swarm Optimization CSO Nature-inspired Bio-inspired 2014 [42]
Colliding Bodies Optimization CBO 2014
Coral Reefs Optimization Algorithm CROA 2014
Flower Pollination Algorithm FPA Nature-inspired Plant-based 2014
Radial Movement Optimization RMO Nature-inspired Swarm-based 2014 [43]
Spider Monkey Optimization SMO Nature-inspired Bio-inspired 2014 [44]
Artificial Algae Algorithm AAA 2015 [45]
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
Cricket Algorithm CA 2015 [46]
Elephant Search Algorithm ESA Nature-inspired Bio-inspired 2015 [47]
Grey Wolf Optimizer GWO Nature-inspired Bio-inspired 2015 [48]
Jaguar Algorithm JA Nature-inspired Bio-inspired 2015 [49]
Locust Swarm Algorithm LSA Nature-inspired Swarm-based 2015 [50]
Moth-Flame Optimization MFO Nature-inspired Bio-inspired 2015 [51]
Stochastic Fractal Search SFF Evolutionary-based - 2015 [52]
Vortex Search Algorithm VSA Nature-inspired Physics/Chemistry-based 2015 [53]
Water Wave Optimization WWA Nature-inspired Physics/Chemistry-based 2015 [54]
Ant Lion Optimizer ALO Nature-inspired Bio-inspired 2015 [55]
African Buffalo Optimization ABO Nature-inspired Swarm-based 2015 [56]
Lightning Search Algorithm LSA Nature-inspired Physics/Chemistry-based 2015 [57]
Across Neighborhood Search ANS Evolutionary-based - 2016 [58]
Crow Search Algorithm CSA Nature-inspired Bio-inspired 2016 [59]
Electromagnetic Field Optimization EFO Nature-inspired Physics/Chemistry-based 2016 [60]
Joint Operations Algorithm JOA Nature-inspired Swarm-based 2016 [61]
Lion Optimization Algorithm LOA Nature-inspired Bio-inspired 2016 [62]
Sine Cosine Algorithm SCA Nature-inspired Physics/Chemistry-based 2016 [63]
Virus Colony Search VCS Nature-inspired Bio-inspired 2016 [64]
Whale Optimization Algorithm WOA Nature-inspired Bio-inspired 2016 [65]
Red Deer Algorithm RDA Nature-inspired Bio-inspired 2016 [66]
Phototropic Optimization Algorithm POA Nature-inspired Plant-based 2018 [67]
Coyote Optimization Algorithm COA Nature-inspired Swarm-based 2018 [68]
Owl Search Algorithm OSA Nature-inspired Bio-inspired 2018 [69]
Squirrel Search Algorithm SSA Nature-inspired Bio-inspired 2018 [70]
Social Engineering Optimizer SEO Nature-inspired Human-based 2018 [71]
Future Search Algorithm FSA Nature-inspired Human-based 2019 [72]
Emperor Penguins Colony EPC Nature-inspired Swarm-based 2019 [73]
Thermal Exchange Optimization TEO Nature-inspired Physics/Chemistry-based 2019 [74]
Harris Hawks Optimization HHO Nature-inspired Bio-inspired 2019 [75]
Political Optimizer PO Nature-inspired Human-based 2020 [76]
Heap-Based Optimizer HBO Nature-inspired Human-based 2020 [77]
Color Harmony Algorithm CHA Art-inspired Color-based 2020 [78]
Stochastic Paint Optimizer SPO Art-inspired Color-based 2020 [79]
Giza Pyramids Construction GPC Ancient-inspired - 2020 [80]

References

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  47. ^ 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.
  48. ^ 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.
  49. ^ 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.
  50. ^ 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.
  51. ^ 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.
  52. ^ 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.
  53. ^ 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.
  54. ^ 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.
  55. ^ 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.
  56. ^ 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.
  57. ^ 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.
  58. ^ 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.
  59. ^ 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.
  60. ^ 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.
  61. ^ 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.
  62. ^ 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.
  63. ^ 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.
  64. ^ 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.
  65. ^ 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.
  66. ^ 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.
  67. ^ Vinod, Chandra S S; Anand, Hareendran S (2021). "Phototropic algorithm for global optimisation problems". Applied Intelligence. doi:10.1007/s10489-020-02105-4.
  68. ^ 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.
  69. ^ 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.
  70. ^ 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.
  71. ^ 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.
  72. ^ 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.
  73. ^ 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.
  74. ^ 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.
  75. ^ 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.
  76. ^ 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.
  77. ^ 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.
  78. ^ 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.
  79. ^ Kaveh, Ali; Talatahari, Siamak; Khodadadi, Nima (2020). "Stochastic Paint Optimizer: theory and application in civil engineering". Engineering with Computers. doi:10.1007/s00366-020-01179-5. ISSN 0177-0667.
  80. ^ Harifi, Sasan; Mohammadzadeh, Javad; Khalilian, Madjid; Ebrahimnejad, Sadoullah (2020-07-13). "Giza Pyramids Construction: an ancient-inspired metaheuristic algorithm for optimization". Evolutionary Intelligence. doi:10.1007/s12065-020-00451-3. ISSN 1864-5917. S2CID 220512280.
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