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 18 → 2010 8月 21 |
Other
| Other | SICE Annual Conference 2010, SICE 2010 |
|---|---|
| 国/地域 | Taiwan, Province of China |
| City | Taipei |
| Period | 10/8/18 → 10/8/21 |
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