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A new approach to genetic based machine learning for efficient improvement of local portions of chromosomes

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4 Author(s)
Furuhashi, T. ; Dept. of Inf. Electron., Nagoya Univ., Japan ; Miyata, Y. ; Nakaoka, K. ; Uchikawa, Y.

This paper presents a new approach to genetic based machine learning (GBML). The new approach is based on an imaginary mechanism of evolution. The authors call this new approach the Nagoya approach. The Nagoya approach is efficient in improving local portions of chromosomes. A simulation of simple computer graphics using the new approach is done. An obstacle avoidance of mobile robot is also simulated using the Nagoya approach and complex fuzzy rules are found.<>

Published in:

Emerging Technologies and Factory Automation, 1994. ETFA '94., IEEE Symposium on

Date of Conference:

6-10 Nov. 1994