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Memetic Computing
Published in: Memetic Computing 4/2018

01-06-2018 | Regular Research Paper

Search strategies investigation in brain storm optimization

Authors: Jingyu Wang, Junfeng Chen, Xingsi Xue, Jingjing Du

Published in: Memetic Computing | Issue 4/2018

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Abstract

The canonical brain storm optimization (BSO) employs clustering, creating and selecting operators, which are all connected and have great impacts on the optimization performance. In this paper, the state-of-the-art search strategies are introduced and the potential strengths and weaknesses of these strategies in the BSO algorithm are analyzed and compared from the perspective of the analytical model rather than any metaphors. The numerical experiments are carried out to artificially amplify and highlight the performance of various strategies. Finally, the progressive directions of the BSO algorithm are discussed for further research.
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Metadata
Title
Search strategies investigation in brain storm optimization
Authors
Jingyu Wang
Junfeng Chen
Xingsi Xue
Jingjing Du
Publication date
01-06-2018
Publisher
Springer Berlin Heidelberg
Published in
Memetic Computing / Issue 4/2018
Print ISSN: 1865-9284
Electronic ISSN: 1865-9292
DOI
https://doi.org/10.1007/s12293-018-0261-x

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