Linear genetic programming

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"Linear genetic programming" is unrelated to "linear programming".

Linear Genetic Programming (LGP) is a particular subset of genetic programming wherein computer programs in population are represented as a sequence of instructions from imperative programming language or machine language. The graph-based data flow that results from a multiple usage of register contents and the existence of structurally noneffective code (introns) are two main differences to more common tree-based genetic programming (TGP) variant.[1] [2][3]

Examples of LGP programs[edit]

Because LGP programs are basically represented by a linear sequence of instructions, they are simpler to read and to operate on than their tree-based counterparts. For example, a simple program written in the LGP language Slash/A looks like a series of instructions separated by a slash:

input/   # gets an input from user and saves it to register F
0/       # sets register I = 0
save/    # saves content of F into data vector D[I] (i.e. D[0] := F)
input/   # gets another input, saves to F
add/     # adds to F current data pointed to by I (i.e. F := F + D[0])
output/. # outputs result from F

By representing such code in bytecode format, i.e. as an array of bytes each representing a different instruction, one can make mutation operations simply by changing an element of such an array.

See also[edit]

Notes[edit]

  1. ^ Brameier, M.: "On linear genetic programming", Dortmund, 2003
  2. ^ W. Banzhaf, P. Nordin, R. Keller, F. Francone, "Genetic Programming – An Introduction. On the Automatic Evolution of Computer Programs and its Application", Morgan Kaufmann, Heidelberg/San Francisco, 1998
  3. ^ Poli, R., Langdon, W. B., McPhee, N. F. (2008). A Field Guide to Genetic Programming. Lulu.com, freely available from the internet. ISBN 978-1-4092-0073-4. 

External links[edit]

  • Slash/A A programming language and C++ library specifically designed for linear GP
  • DigitalBiology.NET Vertical search engine for GA/GP resources
  • Discipulus Genetic-Programming Software
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