Dynamic Multimodal Optimization: A Preliminary Study

Cheng, Shi1; Lu, Hui2; Guo, Yi-Nan3; Lei, Xiujuan1; Liang, Jing4; Chen, Junfeng5; Shi, Yuhui6

10.1109/CEC.2019.8790078

2019

978-1-7281-2154-3

2019 IEEE Congress on Evolutionary Computation, CEC 2019

279-285

10-13 June 2019

Wellington, New zealand

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

Institute of Electrical and Electronics Engineers Inc.

The benchmark problems have played a fundamental role in verifying the algorithm's search ability. A dynamic multimodal optimization (DMO) problem is defined as an optimization problem with multiple global optima and characteristics of global optima which are changed during the search process. Two cases are used to illustrate the application scenario of DMO. A set of benchmark functions on DMO, which contains eight problems, are proposed to show the difficulty of DMO. The properties of the proposed benchmark problems, such as the distribution of solutions, the scalability, the number of global/local optima, are discussed.
© 2019 IEEE.

Dynamic multimodal optimization problem Dynamic multimodal optimization Swarm intelligence Benchmark functions

其他

英语

EI ; CPCI-S

Fundamental Research Funds for the Central Universities[GK201901010]

Engineering ; Mathematical & Computational Biology

Engineering, Electrical & Electronic ; Mathematical & Computational Biology

WOS:000502087100038

20193507373767

Benchmarking ; Swarm intelligence

Optimization Techniques:921.5

EV Compendex

1.School of Computer Science, Shaanxi Normal University, Xi'an; 710119, China
2.School of Electronic and Information Engineering, Beihang University, Beijing; 100191, China
3.School of Information and Control Engineering, China University of Mining and Technology, Xuzhou; 221008, China
4.School of Electrical Engineering, Zhengzhou University, Zhengzhou; 450001, China
5.College of IOT Engineering, Hohai University, Changzhou; 213022, China
6.Shenzhen Key Lab of Computational Intelligence, Southern University of Science and Technology, Shenzhen; 518055, China

Cheng, Shi,Lu, Hui,Guo, Yi-Nan,et al. Dynamic Multimodal Optimization: A Preliminary Study[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:Institute of Electrical and Electronics Engineers Inc.,2019:279-285.