Variable Size Genetic Network Programming

Katagiri Hironobu, Hu Jinglu, Murata Junichi, Hirasawa Kotaro

研究成果: Contribution to journalArticle査読

10 被引用数 (Scopus)

抄録

Genetic Network Programming (GNP) is a kind of evolutionary methods, which evolves arbitrary directed graph programs. Previously, the program size of GNP was fixed. In the paper, a new method is proposed, where the program size is adaptively changed depending on the frequency of the use of nodes. To control and to decide a program size are important and difficult problems in Evolutionary Computation, especially, a well-known crossover operator tends to cause bloat. We introduce two additional operators, add operator and delete operator, that can change the number of each kind of nodes based on whether a node function is important in the environment or not. Simulation results shows that the proposed method brings about extremely better results compared with ordinary fixed size GNP.

本文言語英語
ページ(範囲)57-66
ページ数10
ジャーナルIEEJ Transactions on Electronics, Information and Systems
123
1
DOI
出版ステータス出版済み - 1 2003

All Science Journal Classification (ASJC) codes

  • 電子工学および電気工学

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