Dynamic Multimodal Optimization: A Preliminary Study

Shi Cheng; Hui Lu; Yi Nan Guo; Xiujuan Lei; Jing Liang; Junfeng Chen; Yuhui Shi

doi:10.1109/CEC.2019.8790078

Dynamic Multimodal Optimization: A Preliminary Study

Shi Cheng
, Hui Lu
, Yi Nan Guo
, Xiujuan Lei
, Jing Liang
, Junfeng Chen
, Yuhui Shi

School of Electronic and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

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.

Original language	English
Title of host publication	2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	279-285
Number of pages	7
ISBN (Electronic)	9781728121536
DOIs	https://doi.org/10.1109/CEC.2019.8790078
State	Published - Jun 2019
Event	2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Wellington, New Zealand Duration: 10 Jun 2019 → 13 Jun 2019

Publication series

Name	2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings

Conference

Conference	2019 IEEE Congress on Evolutionary Computation, CEC 2019
Country/Territory	New Zealand
City	Wellington
Period	10/06/19 → 13/06/19

Keywords

Benchmark functions
Dynamic multimodal optimization
Dynamic multimodal optimization problem
Swarm intelligence

Access to Document

10.1109/CEC.2019.8790078

Cite this

Cheng, S., Lu, H., Guo, Y. N., Lei, X., Liang, J., Chen, J., & Shi, Y. (2019). Dynamic Multimodal Optimization: A Preliminary Study. In 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings (pp. 279-285). Article 8790078 (2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC.2019.8790078

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title = "Dynamic Multimodal Optimization: A Preliminary Study",

abstract = "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.",

keywords = "Benchmark functions, Dynamic multimodal optimization, Dynamic multimodal optimization problem, Swarm intelligence",

author = "Shi Cheng and Hui Lu and Guo, \{Yi Nan\} and Xiujuan Lei and Jing Liang and Junfeng Chen and Yuhui Shi",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Congress on Evolutionary Computation, CEC 2019 ; Conference date: 10-06-2019 Through 13-06-2019",

year = "2019",

month = jun,

doi = "10.1109/CEC.2019.8790078",

language = "英语",

series = "2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings",

address = "美国",

}

Cheng, S, Lu, H, Guo, YN, Lei, X, Liang, J, Chen, J & Shi, Y 2019, Dynamic Multimodal Optimization: A Preliminary Study. in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings., 8790078, 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 279-285, 2019 IEEE Congress on Evolutionary Computation, CEC 2019, Wellington, New Zealand, 10/06/19. https://doi.org/10.1109/CEC.2019.8790078

Dynamic Multimodal Optimization: A Preliminary Study. / Cheng, Shi; Lu, Hui; Guo, Yi Nan et al.
2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 279-285 8790078 (2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Dynamic Multimodal Optimization: A Preliminary Study

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