The Explicit Exploration Information Exchange Mechanism for Niche Technique

Authors:
Jun Zhang;Kwok-Wing Chau
Affiliations:
Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China 230031 and School of Electronic Science and Technology, Anhui University, Hefei, China;Department of Civil & Structural Engineering, The Hong Kong Polytechnic University, Hunghom, Kowloon Hong Kong,
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Year:
2008

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Abstract

This paper presents a novel explicit exploration information exchange mechanism for niche technique. In this framework, the whole population is divided into many sub-populations. The different sub-population communicates with each other. One sub-population exploration area does not be explored by others. Based on this framework, a multi-sub-swarm particle swarm optimization (MSSPSO) algorithm is implemented to test the thought. Five benchmark multimodal functions are used as test functions. The experimental results show that the proposed method has a stronger adaptive ability and a better performance for multimodal functions with respect to other niche techniques.