Chaotic Evolutionary Parallel Computation on Intelligent Agents

Abstract

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.