Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32953
Title: The explicit exploration information exchange mechanism for niche technique
Authors: Zhang, J
Chau, KW 
Issue Date: 2008
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2008, v. 5227 lnai, p. 583-590 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
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.
Description: 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, 15-18 September 2008
URI: http://hdl.handle.net/10397/32953
ISBN: 3540859837
9783540859833
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-540-85984-0_70
Appears in Collections:Conference Paper

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