HJADE: An Efficient Differential Evolution with Complex Nonlinear Population Size

Qianyu Zhu; Yifei Yang; Haotian Li; Shibo Dong; Yuki Todo; Shangce Gao

doi:10.1109/IHMSC58761.2023.00024

HJADE: An Efficient Differential Evolution with Complex Nonlinear Population Size

Qianyu Zhu, Yifei Yang, Haotian Li, Shibo Dong, Yuki Todo, Shangce Gao

Intellectual Information Engineering

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

Abstract

The differential evolution with optional external archive (JADE) algorithm is a competitive improvement based on differential evolution (DE) algorithm, but it tends to converge to local optima. We propose a new enhancement based on JADE, namely HJADE, which incorporates a strategy of regulating the population size using hybrid functions to strike a more favorable balance between exploration and exploitation. We used 30 problems from the IEEE CEC 2017 benchmark set to assess its implementation and compare HJADE with other JADE-based algorithms using statistical tests. The results show that HJADE exhibits superior performance.

Original language	English
Title of host publication	Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	67-71
Number of pages	5
ISBN (Electronic)	9798350326178
DOIs	https://doi.org/10.1109/IHMSC58761.2023.00024
State	Published - 2023
Event	15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023 - Hangzhou, China Duration: 2023/08/26 → 2023/08/27

Publication series

Name	Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023

Conference

Conference	15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023
Country/Territory	China
City	Hangzhou
Period	2023/08/26 → 2023/08/27

Keywords

Differential Evolution
Meta-heuristic
Optimization
Population size

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Human-Computer Interaction
Control and Optimization

Access to Document

10.1109/IHMSC58761.2023.00024

Cite this

Zhu, Q., Yang, Y., Li, H., Dong, S., Todo, Y., & Gao, S. (2023). HJADE: An Efficient Differential Evolution with Complex Nonlinear Population Size. In Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023 (pp. 67-71). (Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IHMSC58761.2023.00024

Zhu, Qianyu ; Yang, Yifei ; Li, Haotian et al. / HJADE : An Efficient Differential Evolution with Complex Nonlinear Population Size. Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 67-71 (Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023).

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title = "HJADE: An Efficient Differential Evolution with Complex Nonlinear Population Size",

abstract = "The differential evolution with optional external archive (JADE) algorithm is a competitive improvement based on differential evolution (DE) algorithm, but it tends to converge to local optima. We propose a new enhancement based on JADE, namely HJADE, which incorporates a strategy of regulating the population size using hybrid functions to strike a more favorable balance between exploration and exploitation. We used 30 problems from the IEEE CEC 2017 benchmark set to assess its implementation and compare HJADE with other JADE-based algorithms using statistical tests. The results show that HJADE exhibits superior performance.",

keywords = "Differential Evolution, Meta-heuristic, Optimization, Population size",

author = "Qianyu Zhu and Yifei Yang and Haotian Li and Shibo Dong and Yuki Todo and Shangce Gao",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023 ; Conference date: 26-08-2023 Through 27-08-2023",

year = "2023",

doi = "10.1109/IHMSC58761.2023.00024",

language = "英語",

series = "Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023",

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

pages = "67--71",

booktitle = "Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023",

}

Zhu, Q, Yang, Y, Li, H, Dong, S, Todo, Y & Gao, S 2023, HJADE: An Efficient Differential Evolution with Complex Nonlinear Population Size. in Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023. Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023, Institute of Electrical and Electronics Engineers Inc., pp. 67-71, 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023, Hangzhou, China, 2023/08/26. https://doi.org/10.1109/IHMSC58761.2023.00024

HJADE: An Efficient Differential Evolution with Complex Nonlinear Population Size. / Zhu, Qianyu; Yang, Yifei; Li, Haotian et al.
Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 67-71 (Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023).

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

TY - GEN

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T2 - 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023

AU - Zhu, Qianyu

AU - Yang, Yifei

AU - Li, Haotian

AU - Dong, Shibo

AU - Todo, Yuki

AU - Gao, Shangce

PY - 2023

Y1 - 2023

N2 - The differential evolution with optional external archive (JADE) algorithm is a competitive improvement based on differential evolution (DE) algorithm, but it tends to converge to local optima. We propose a new enhancement based on JADE, namely HJADE, which incorporates a strategy of regulating the population size using hybrid functions to strike a more favorable balance between exploration and exploitation. We used 30 problems from the IEEE CEC 2017 benchmark set to assess its implementation and compare HJADE with other JADE-based algorithms using statistical tests. The results show that HJADE exhibits superior performance.

AB - The differential evolution with optional external archive (JADE) algorithm is a competitive improvement based on differential evolution (DE) algorithm, but it tends to converge to local optima. We propose a new enhancement based on JADE, namely HJADE, which incorporates a strategy of regulating the population size using hybrid functions to strike a more favorable balance between exploration and exploitation. We used 30 problems from the IEEE CEC 2017 benchmark set to assess its implementation and compare HJADE with other JADE-based algorithms using statistical tests. The results show that HJADE exhibits superior performance.

KW - Differential Evolution

KW - Meta-heuristic

KW - Optimization

KW - Population size

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T3 - Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023

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BT - Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 26 August 2023 through 27 August 2023

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Zhu Q, Yang Y, Li H, Dong S, Todo Y, Gao S. HJADE: An Efficient Differential Evolution with Complex Nonlinear Population Size. In Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 67-71. (Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023). doi: 10.1109/IHMSC58761.2023.00024

HJADE: An Efficient Differential Evolution with Complex Nonlinear Population Size

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Keywords

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