Deep-Layered Differential Evolution

Kaiyu Wang; Zhenyu Lei; Ziqian Wang; Zhiming Zhang; Shangce Gao

doi:10.1007/978-3-031-36625-3_40

Deep-Layered Differential Evolution

Kaiyu Wang, Zhenyu Lei, Ziqian Wang, Zhiming Zhang, Shangce Gao^*

^*Corresponding author for this work

Intellectual Information Engineering

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

Abstract

Single-objective bounded optimization problems are a type of complex problem that frequently arises in industry. These problems are often challenging due to the limited internal information available. In this paper, we propose a new algorithm, called DDE, which is a variant of LSHADE that employs a deep hierarchical structure to enhance its performance. We evaluate the proposed algorithm on the ICSI Optimization Competition 2022. The obtained experimental results are compared with two CEC champions, and our DDE algorithm outperforms both of these algorithms, demonstrating its effectiveness.

Original language	English
Title of host publication	Advances in Swarm Intelligence - 14th International Conference, ICSI 2023, Proceedings
Editors	Ying Tan, Yuhui Shi, Wenjian Luo
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	503-515
Number of pages	13
ISBN (Print)	9783031366246
DOIs	https://doi.org/10.1007/978-3-031-36625-3_40
State	Published - 2023
Event	14th International Conference on Advances in Swarm Intelligence, ICSI 2023 - Shenzhen, China Duration: 2023/07/14 → 2023/07/18

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13969 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Advances in Swarm Intelligence, ICSI 2023
Country/Territory	China
City	Shenzhen
Period	2023/07/14 → 2023/07/18

Keywords

deep hierarchical structure
differential evolution
single objective optimization problem

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-36625-3_40

Cite this

Wang, K., Lei, Z., Wang, Z., Zhang, Z., & Gao, S. (2023). Deep-Layered Differential Evolution. In Y. Tan, Y. Shi, & W. Luo (Eds.), Advances in Swarm Intelligence - 14th International Conference, ICSI 2023, Proceedings (pp. 503-515). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13969 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-36625-3_40

Wang, Kaiyu ; Lei, Zhenyu ; Wang, Ziqian et al. / Deep-Layered Differential Evolution. Advances in Swarm Intelligence - 14th International Conference, ICSI 2023, Proceedings. editor / Ying Tan ; Yuhui Shi ; Wenjian Luo. Springer Science and Business Media Deutschland GmbH, 2023. pp. 503-515 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Single-objective bounded optimization problems are a type of complex problem that frequently arises in industry. These problems are often challenging due to the limited internal information available. In this paper, we propose a new algorithm, called DDE, which is a variant of LSHADE that employs a deep hierarchical structure to enhance its performance. We evaluate the proposed algorithm on the ICSI Optimization Competition 2022. The obtained experimental results are compared with two CEC champions, and our DDE algorithm outperforms both of these algorithms, demonstrating its effectiveness.",

keywords = "deep hierarchical structure, differential evolution, single objective optimization problem",

author = "Kaiyu Wang and Zhenyu Lei and Ziqian Wang and Zhiming Zhang and Shangce Gao",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 14th International Conference on Advances in Swarm Intelligence, ICSI 2023 ; Conference date: 14-07-2023 Through 18-07-2023",

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Wang, K, Lei, Z, Wang, Z, Zhang, Z & Gao, S 2023, Deep-Layered Differential Evolution. in Y Tan, Y Shi & W Luo (eds), Advances in Swarm Intelligence - 14th International Conference, ICSI 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13969 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 503-515, 14th International Conference on Advances in Swarm Intelligence, ICSI 2023, Shenzhen, China, 2023/07/14. https://doi.org/10.1007/978-3-031-36625-3_40

Deep-Layered Differential Evolution. / Wang, Kaiyu; Lei, Zhenyu; Wang, Ziqian et al.
Advances in Swarm Intelligence - 14th International Conference, ICSI 2023, Proceedings. ed. / Ying Tan; Yuhui Shi; Wenjian Luo. Springer Science and Business Media Deutschland GmbH, 2023. p. 503-515 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13969 LNCS).

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

TY - GEN

T1 - Deep-Layered Differential Evolution

AU - Wang, Kaiyu

AU - Lei, Zhenyu

AU - Wang, Ziqian

AU - Zhang, Zhiming

AU - Gao, Shangce

PY - 2023

Y1 - 2023

N2 - Single-objective bounded optimization problems are a type of complex problem that frequently arises in industry. These problems are often challenging due to the limited internal information available. In this paper, we propose a new algorithm, called DDE, which is a variant of LSHADE that employs a deep hierarchical structure to enhance its performance. We evaluate the proposed algorithm on the ICSI Optimization Competition 2022. The obtained experimental results are compared with two CEC champions, and our DDE algorithm outperforms both of these algorithms, demonstrating its effectiveness.

AB - Single-objective bounded optimization problems are a type of complex problem that frequently arises in industry. These problems are often challenging due to the limited internal information available. In this paper, we propose a new algorithm, called DDE, which is a variant of LSHADE that employs a deep hierarchical structure to enhance its performance. We evaluate the proposed algorithm on the ICSI Optimization Competition 2022. The obtained experimental results are compared with two CEC champions, and our DDE algorithm outperforms both of these algorithms, demonstrating its effectiveness.

KW - deep hierarchical structure

KW - differential evolution

KW - single objective optimization problem

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T2 - 14th International Conference on Advances in Swarm Intelligence, ICSI 2023

Y2 - 14 July 2023 through 18 July 2023

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Wang K, Lei Z, Wang Z, Zhang Z, Gao S. Deep-Layered Differential Evolution. In Tan Y, Shi Y, Luo W, editors, Advances in Swarm Intelligence - 14th International Conference, ICSI 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 503-515. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-36625-3_40

Deep-Layered Differential Evolution

Abstract

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Keywords

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Cite this