Functionally distributed systems using parallel Genetic Network Programming

Yiwen Zhang*, Xianneng Li, Yang Yang, Shingo Mabu, Yi Jin, Kotaro Hirasawa

*この研究の対応する著者

研究成果: Conference contribution

抄録

Genetic Network Programming (GNP), one of the evolutionary computational methods, can generate behavior sequences of agents. In this paper, a new method named parallel GNP has been proposed and applied to functionally distributed systems consisted of several tasks. GNPs corresponding to several tasks in parallel GNP operate separately and independently but concurrently, dealing with the conflicts in task execution. Parallel GNP converges faster and has better fitness results than conventional GNP, which was shown by simulations comparing with conventional GNP on dynamic problems.

本文言語English
ホスト出版物のタイトルProceedings of the SICE Annual Conference
ページ2626-2630
ページ数5
出版ステータスPublished - 2010
イベントSICE Annual Conference 2010, SICE 2010 - Taipei, Taiwan, Province of China
継続期間: 2010 8月 182010 8月 21

Other

OtherSICE Annual Conference 2010, SICE 2010
国/地域Taiwan, Province of China
CityTaipei
Period10/8/1810/8/21

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

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