Read e-book online Cartesian Genetic Programming PDF

By Julian F. Miller

ISBN-10: 3642173098

ISBN-13: 9783642173097

Cartesian Genetic Programming (CGP) is a powerful and more and more well known kind of genetic programming. It represents courses within the type of directed graphs, and a specific attribute is that it has a hugely redundant genotype–phenotype mapping, in that genes might be noncoding. It has spawned a few new types, every one bettering at the potency, between them modular, or embedded, CGP, and self-modifying CGP. it's been utilized to many difficulties in either desktop technology and utilized sciences.

This ebook includes chapters written through the best figures within the improvement and alertness of CGP, and it'll be crucial analyzing for researchers in genetic programming and for engineers and scientists fixing purposes utilizing those thoughts. it is going to even be worthwhile for complicated undergraduates and postgraduates trying to comprehend and make the most of a hugely effective type of genetic programming.

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Once we have the information about which nodes are used, we can efficiently decode the genotype G with some input data to find out what data the encoded pro- 26 Julian F. Miller Fig. 6 The decoding procedure for a CGP genotype for the two-bit multiplier problem. (a) Output A (oA ) connects to the output of node 4; move to node 4. (b) Node 4 connects to the program inputs 0 and 2; therefore the output A is decoded. Move to output B. (c) Output B (oB ) connects to the output of node 9; move to node 9.

A global mutation inserts a randomly generated subgraph into an existing program. A link mutation changes a random connection in a graph by firstly selecting a random function node, then selecting a random input link of such a node and, finally, altering the offset associated with the link. As we will see in Chap. 2, Cartesian GP (CGP) also encodes directed graphs; however, the genotype is just a one-dimensional string of integers. Also, CGP genetic operators operate directly on the chromosome, while in PDGP they act directly on the graph.

3 2 The language Forth is a well-known example. Source code is available for research versions of the Push interpreter and PushGP from Lee Spector’s website. 3 1 Intro. 5 Cartesian Graph-Based GP Unlike trees, where there is always a unique path between any pair of nodes, graphs allow more than one path between any pair of nodes. If we assume all nodes carry out some computational function, representing functions in the form of graphs is more compact than trees since they allow the reuse of previously calculated subgraphs.

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Cartesian Genetic Programming by Julian F. Miller

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