Paper:
Language: English:

Accelerated Genetic Programming for Intelligent Fuzzy Robots

Yasuyuki Murai^, Koki Matsumura^, Hisayuki Tatsumi^, Hiroyuki Tsuji^, and Shinji Tokumasu^

Department of Information and Computer Sciences,
Kanagawa Institute of Technology, 1030 Shimoogino, Atsugi, Kanagawa 243-0292, Japan
Department of Information and Knowledge Engineering,
Tottori University, 4-101 Koyama-Minami, Tottori, Tottori 680-8550, Japan
Department of Computer Science, Tsukuba College of Technology, 4-12-7 Kasuga, Tsukuba, Ibaraki 305-0821, Japan

Received: July 22, 2004

Accepted: September 12, 2004

Keywords: fuzzy, robot, genetic programming, coupled chaotic system,

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.8, No.6 pp. 582-590, 2004

Abstract

We previously proposed a new way of automatically generating
membership functions that play an important role in improving the accuracy of fuzzy control by using genetic programming (GP). In this paper, we report 2 improvements for achieving better fuzzy robot intelligence. First, we made the mutation rate change dynamically based on a coupled chaotic system. Secondly, we introduced population partitioning using deme by parallel processing. The effectiveness of these improvements is demonstrated through computer simulation.

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