An interactive genetic algorithm based on improved sharing mechanism for automobile modeling design

Authors:
Changyong Liang;Meiju Cai;Qing Lu
Affiliations:
Institute of Computer Network, Hefei University of Technology, Anhui, China and Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Anhui, China;Institute of Computer Network, Hefei University of Technology, Anhui, China and Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Anhui, China;Institute of Economics and Management, Shanghai University of Electric Power, Shanghai, China
Venue:
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
Year:
2011

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Abstract

By introducing niche ideas based on sharing mechanism into the domain of interactive evolutionary computation, an interactive genetic algorithm based on improved sharing mechanism (ISMIGA) is developed. In the algorithm, the concept of niche entropy and adaptive niche radius is introduced to ensure population diversity, which avoids local converge, improves algorithm efficiency and contributes to balance the defects which are generated when the traditional interactive genetic algorithm deals with the contradiction between maintaining population diversity and accelerating the convergence. The simulation experiment of automobile modeling design shows the proposed algorithm is feasible and effective.