Abstract:
MEBML, mind-evolution-based machine learning presented in Chengyi Sun et al. (1998) has many superior qualities for solving the premature convergence problem of genetic a...Show MoreMetadata
Abstract:
MEBML, mind-evolution-based machine learning presented in Chengyi Sun et al. (1998) has many superior qualities for solving the premature convergence problem of genetic algorithms and non-numerical optimization. The similar taxis and dissimilation operators have some shortcomings and no theoretical analysis method, so that the efficiency is lower. For numerical optimization problems, the construction methods of the similartaxis and dissimilation operators are given in the paper, and the effectiveness is proven through examples.
Published in: Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393)
Date of Conference: 26 June 2000 - 02 July 2000
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-5995-X
