Multi-population Modified L-SHADE for Single Objective Bound Constrained optimization

Yann Chern Jou; Shuo Ying Wang; Jia Fong Yeh; Tsung Che Chiang

doi:10.1109/CEC48606.2020.9185735

Multi-population Modified L-SHADE for Single Objective Bound Constrained optimization

Yann Chern Jou, Shuo Ying Wang, Jia Fong Yeh, Tsung Che Chiang

Department of Computer Science and Information Engineering

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

11 Citations (Scopus)

Abstract

In this paper, we extend a previous algorithm mL-SHADE by running the evolutionary process through multiple populations and adding dynamic control of mutation intensity and hyper-parameters. The whole population is partitioned into subpopulations by a random clustering method. Mutation intensity and hyper-parameters are adjusted based on the consumption of fitness function evaluations. Performance of the proposed algorithm is verified by ten benchmark functions in the CEC2020 Competition on Single Objective Bound Constrained optimization. The results show the competitiveness of the proposed algorithm.

Original language	English
Title of host publication	2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728169293
DOIs	https://doi.org/10.1109/CEC48606.2020.9185735
Publication status	Published - 2020 Jul
Event	2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Virtual, Glasgow, United Kingdom Duration: 2020 Jul 19 → 2020 Jul 24

Publication series

Name	2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

Conference

Conference	2020 IEEE Congress on Evolutionary Computation, CEC 2020
Country/Territory	United Kingdom
City	Virtual, Glasgow
Period	2020/07/19 → 2020/07/24

Keywords

adaptive
clustering
differential evolution
multi-population
success history

ASJC Scopus subject areas

Control and Optimization
Decision Sciences (miscellaneous)
Artificial Intelligence
Computer Vision and Pattern Recognition
Hardware and Architecture

Access to Document

10.1109/CEC48606.2020.9185735

Cite this

Jou, Y. C., Wang, S. Y., Yeh, J. F., & Chiang, T. C. (2020). Multi-population Modified L-SHADE for Single Objective Bound Constrained optimization. In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings Article 9185735 (2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC48606.2020.9185735

Multi-population Modified L-SHADE for Single Objective Bound Constrained optimization. / Jou, Yann Chern; Wang, Shuo Ying; Yeh, Jia Fong et al.
2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9185735 (2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings).

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

Jou, YC, Wang, SY, Yeh, JF & Chiang, TC 2020, Multi-population Modified L-SHADE for Single Objective Bound Constrained optimization. in 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings., 9185735, 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE Congress on Evolutionary Computation, CEC 2020, Virtual, Glasgow, United Kingdom, 2020/07/19. https://doi.org/10.1109/CEC48606.2020.9185735

Jou YC, Wang SY, Yeh JF, Chiang TC. Multi-population Modified L-SHADE for Single Objective Bound Constrained optimization. In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9185735. (2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings). doi: 10.1109/CEC48606.2020.9185735

Jou, Yann Chern ; Wang, Shuo Ying ; Yeh, Jia Fong et al. / Multi-population Modified L-SHADE for Single Objective Bound Constrained optimization. 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings).

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Multi-population Modified L-SHADE for Single Objective Bound Constrained optimization

Abstract

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Keywords

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