DocumentCode :
677788
Title :
Usage of Frequently Used Node in Variable Size Genetic Network Programming
Author :
Bing Li ; Shanqing Yu ; Hirasawa, K.
Author_Institution :
Grad. Sch. of Inf. Production & Syst., Waseda Univ., Kitakyushu, Japan
fYear :
2013
fDate :
13-16 Oct. 2013
Firstpage :
174
Lastpage :
179
Abstract :
This paper describes a kind of replacement mechanism which improves the generalization ability of Variable Size Genetic Network Programming (GNPvs). GNPvs is an extension of Genetic Network Programming (GNP), which has changeable number of nodes. Inspired by the theory of Evolution by Gene Duplication, the non-frequently used nodes are replaced with the frequently used nodes in the proposed method, which can make the individual survive under the selection pressure as usual, but eventually might accumulate mutations that produce new features of individuals for adapting new environments. The effectiveness of the proposed method is verified by comparing with the performance of GNPvs and GNP on a well-known dynamic multi-agent test bed - Tile world.
Keywords :
genetic algorithms; multi-agent systems; network theory (graphs); GNPvs; Tileworld; evolution theory; frequently used node; gene duplication; generalization ability; multiagent test bed; replacement mechanism; selection pressure; variable size genetic network programming; Economic indicators; Educational institutions; Genetic programming; Programming; Tiles; Training; Generalization; Genetic Network Programming; Tile-world; Variable size;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
Type :
conf
DOI :
10.1109/SMC.2013.37
Filename :
6721790
Link To Document :
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