Genetic Network Programming and Its Application to the Multiagent System
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- Katagiri Hironobu
- Department of Electrical and Electronic Systems Engineering, Kyushu University
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- Hu Jinglu
- Department of Electrical and Electronic Systems Engineering, Kyushu University
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- Hirasawa Kotaro
- Graduate School of Information, Production, and Systems, Waseda University
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- Murata Junichi
- Department of Electrical and Electronic Systems Engineering, Kyushu University
Bibliographic Information
- Other Title
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- Genetic Network Programmingとそのマルチエージェントシステムへの応用
Abstract
Recently many studies have been made on automatic design of complex systems by using the optimization technique such as Genetic Algorithms (GA), Evolution Strategy (ES), Evolutionary Programming (EP) and Genetic Programming (GP). In this paper, a new method named Genetic Network Programming (GNP) which describes the behavior sequences of agents as a network is proposed in order to acquire intelligent behavior sequences. GNP includes judgement nodes and processing nodes in the network. The proposed system can evolve itself by an evolutionary method using mutation and crossover.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 122 (12), 2149-2156, 2002
The Institute of Electrical Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390282679587474176
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- NII Article ID
- 130006845656
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- ISSN
- 13488155
- 03854221
- http://id.crossref.org/issn/03854221
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed