Dynamic Multimodal Optimization Using Brain Storm Optimization Algorithms

Shi Cheng,Hui Lu,Yuhui Shi,Wu Song,Junfeng Chen

doi:10.1007/978-981-13-2826-8_21

Dynamic Multimodal Optimization Using Brain Storm Optimization Algorithms

Shi Cheng, Hui Lu + Show 3 more

https://doi.org/10.1007/978-981-13-2826-8_21

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Publication Date: Jan 1, 2018

Citations: 12

Affiliation: Shaanxi Normal University, Beihang University, Southern University of Science and Technology, Hohai University

#Brain Storm Optimization #Dynamic Optimization + Show 8 more

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Abstract

Dynamic multimodal optimization (DMO) problem is introduced and solved with brain storm optimization (BSO) algorithms in this paper. A dynamic multimodal optimization problem is defined as an optimization problem with multiple global optima and characteristics of global optima are changed during the search process. The effectiveness of BSO algorithm is validated on a test problem which was constructed based on the dynamic optimization and multimodal optimization. Results show that BSO algorithm is an efficient and robust optimization method for solving dynamic multimodal optimization problems.

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