Chaotic Evolutionary Parallel Computation on Intelligent Agents | Zendy

N. Kohata | Zendy; Toru Yamaguchi | Zendy; Takanobu Baba | Zendy; Hideki Hashimoto | Zendy

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Chaotic Evolutionary Parallel Computation on Intelligent Agents

Author(s) -

N. Kohata,

Toru Yamaguchi,

Takanobu Baba,

Hideki Hashimoto

Publication year - 1998

Publication title -

journal of robotics and mechatronics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.257

H-Index - 19

eISSN - 1883-8049

pISSN - 0915-3942

DOI - 10.20965/jrm.1998.p0424

Subject(s) - evolutionary computation , computer science , computation , chaotic , interactive evolutionary computation , genetic representation , evolutionary algorithm , human based evolutionary computation , genetic algorithm , robot , artificial intelligence , evolutionary programming , theoretical computer science , machine learning , algorithm

This paper proposes evolutionary computation using chaotic dynamics rather than the conventional genetic algorithm (GA) for such intelligent agents as welfare robots. Proposed evolutionary computation applies chaotic retrieval to associative memory. We applied evolutionary computation to multiagent robots moving side by side in step. Evolutionary computation is basically parallel processing, so we implement its parallel processing algorithm on A-NET (Actors NETwork) parallel objectoriented computer to show usefulness of parallel processing in evolutionary computation.

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