Analysis of crossover rate in variable size Genetic Network Programming with binomial distribution

Bing Li*, Xianneng Li, Shingo Mabu, Kotaro Hirasawa


研究成果: Conference contribution


Variable Size Genetic Network Programming (GNPvs) with Binomial Distribution is a new type of Genetic Network Programming, which permits the individuals with variable size and obtains the optimal size of individuals during evolution. In contrast to swapping the corresponding nodes in the crossover of Genetic Network Programming (GNP), the crossover of GNPvs moves a number of nodes from each parent individual to another parent individual. The probability of selecting the number of nodes to move satisfies the binomial distribution, which is controls by the crossover rate and the initial size of the individuals. In this paper, the performance of the algorithm and the size of the individuals are studied by changing the most important parameter, i.e., crossover rate. Since GNPvs may suffer from the bloating problem, the Island Model is introduced to control the size of the individuals implicitly. The well-known test bed Tileworld is used to show the numeric results in the simulations.

ホスト出版物のタイトルProceedings of the SICE Annual Conference
出版ステータスPublished - 2011
イベント50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011 - Tokyo, Japan
継続期間: 2011 9月 132011 9月 18


Other50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 制御およびシステム工学
  • コンピュータ サイエンスの応用