Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/67193
Title: Modified brain storm optimization algorithms based on topology structures
Authors: Li, L
Zhang, FF
Chu, X
Niu, B
Keywords: Brain storm optimization
Gaussian mutation
Mutation operator
Population-based optimization
Topology structures
Issue Date: 2016
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2016, v. 9713, p. 408-415 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: An algorithm performs better often due to its communication mechanisms. Different types of topology structures denote various information exchange mechanisms. This paper incorporates topology structure concept into brain storm optimization (BSO) algorithm. Three types of topology structures, which are full connected, ring connected and star connected, are introduced. And three novel modified optimization algorithms based on topology structures are proposed (BSO-FC, BSO-RI, BSO-ST). Unimodal and multimodal criteria functions are employed to verify the effectiveness of the raised algorithms. In addition, both the original BSO algorithm and bacterial foraging optimization (BFO) algorithm are selected as contrastive algorithms to expose the opti-mization capacity of the proposed algorithms. Experimental results show that all of the modified algorithms have better performance than the original BSO algorithm, especially the BSO-ST algorithm.
Description: International Conference in Swarm Intelligence, ICSI 2016, Indonesia, 25-30 June 2016
URI: http://hdl.handle.net/10397/67193
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-319-41009-8_44
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