Abstract
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.
| Original language | English |
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| Title of host publication | Proceedings of the SICE Annual Conference |
| Pages | 2626-2630 |
| Number of pages | 5 |
| Publication status | Published - 2010 |
| Event | SICE Annual Conference 2010, SICE 2010 - Taipei, Taiwan, Province of China Duration: 2010 Aug 18 → 2010 Aug 21 |
Other
| Other | SICE Annual Conference 2010, SICE 2010 |
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| Country/Territory | Taiwan, Province of China |
| City | Taipei |
| Period | 10/8/18 → 10/8/21 |
Keywords
- Evolutionary computation
- Functionally distributed systems
- Parallel genetic network programming
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Computer Science Applications