MBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems

Pourpanah, Farhad1; Wang, Ran1; Wang, Xizhao2; Shi, Yuhui3; Yazdani, Danial3

10.1109/SSCI44817.2019.9002850

2019

978-1-7281-2486-5

2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019

673-679

6-9 Dec. 2019

Xiamen, China

345 E 47TH ST, NEW YORK, NY 10017 USA

Institute of Electrical and Electronics Engineers Inc.

Brain Storm Optimization (BSO), which is an effective swarm intelligence method inspired by the human brainstorming process, has shown promising results in solving static optimization problems. However, The search spaces of many real-world problems change over time, in which the original BSO and its variants are not able to cope with. This paper extends BSO as an adaptive multi-population based algorithm, i.e., mBSO, to solve dynamic optimization problems (DOPs). Firstly, a modified BSO, which uses new update mechanisms independent from the maximum number of iterations and objective space grouping method, is proposed. Then, the modified BSO is embedded in a multi-population framework. Several mechanisms such as convergence detection, exclusion, and re-diversification are employed to address the challenging issues of DOPs. The moving peaks benchmark (MPB) is used to evaluate the performance of mBSO along with comparison with other state-of-the-art methods. The outcome indicates the efficiency of the proposed mBSO in locating optima and tracking them after environmental changes.
© 2019 IEEE.

Brain storm optimization dynamic environments moving peaks benchmark multi-population multimodal dynamic optimization

其他

英语

EI ; CPCI-S

[827-0 0 0230] ; National Natural Science Foundation of China[61772344]

Computer Science

Computer Science, Artificial Intelligence

WOS:000555467200097

20201108277060

Artificial intelligence ; Benchmarking ; Optimization ; Storms

Precipitation:443.3 ; Artificial Intelligence:723.4 ; Optimization Techniques:921.5

EV Compendex

1.Shenzhen University, College of Mathematics and Statistics, China
2.Shenzhen University, College of Computer Science and Software Engineering, China
3.Southern University of Science and Technology, Department of Computer Science and Engineering, China

Pourpanah, Farhad,Wang, Ran,Wang, Xizhao,et al. MBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:Institute of Electrical and Electronics Engineers Inc.,2019:673-679.