Distributed Inverse Learning and Deflection-based Particle Swarm Optimization Algorithm for Multimodal Functions

Tianqi Liu; Miaosen Zhang; Guohua Liu; Yuezu Lv

doi:10.1109/ICCSS52145.2020.9336929

Distributed Inverse Learning and Deflection-based Particle Swarm Optimization Algorithm for Multimodal Functions

Tianqi Liu, Miaosen Zhang, Guohua Liu, Yuezu Lv

Southeast University, Nanjing

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

Abstract

This paper studies the multi-modal function optimization problem. By introducing the idea of inverse learning, a novel distributed inverse learning and deflection-based particle swarm optimization (DILD-PSO) algorithm is proposed, where a deflection operation is involved in the algorithm to obtain a better performance on global exploration. Simulation examples are presented to illustrate the effectiveness of the proposed DILD-PSO algorithm.

Original language	English
Title of host publication	2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	475-480
Number of pages	6
ISBN (Electronic)	9781728162461
DOIs	https://doi.org/10.1109/ICCSS52145.2020.9336929
Publication status	Published - 13 Nov 2020
Externally published	Yes
Event	7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020 - Guangzhou, China Duration: 13 Nov 2020 → 15 Nov 2020

Publication series

Name	2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020

Conference

Conference	7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020
Country/Territory	China
City	Guangzhou
Period	13/11/20 → 15/11/20

Keywords

Particle swarm optimization
deflection operation
distributed algorithm
inverse learning
multimodal function optimization

Access to Document

10.1109/ICCSS52145.2020.9336929

Cite this

Liu, T., Zhang, M., Liu, G., & Lv, Y. (2020). Distributed Inverse Learning and Deflection-based Particle Swarm Optimization Algorithm for Multimodal Functions. In 2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020 (pp. 475-480). Article 9336929 (2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSS52145.2020.9336929

Liu, Tianqi ; Zhang, Miaosen ; Liu, Guohua et al. / Distributed Inverse Learning and Deflection-based Particle Swarm Optimization Algorithm for Multimodal Functions. 2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 475-480 (2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020).

@inproceedings{de9e234a57684896a76a1ca4543953dc,

title = "Distributed Inverse Learning and Deflection-based Particle Swarm Optimization Algorithm for Multimodal Functions",

abstract = "This paper studies the multi-modal function optimization problem. By introducing the idea of inverse learning, a novel distributed inverse learning and deflection-based particle swarm optimization (DILD-PSO) algorithm is proposed, where a deflection operation is involved in the algorithm to obtain a better performance on global exploration. Simulation examples are presented to illustrate the effectiveness of the proposed DILD-PSO algorithm.",

keywords = "Particle swarm optimization, deflection operation, distributed algorithm, inverse learning, multimodal function optimization",

author = "Tianqi Liu and Miaosen Zhang and Guohua Liu and Yuezu Lv",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020 ; Conference date: 13-11-2020 Through 15-11-2020",

year = "2020",

month = nov,

day = "13",

doi = "10.1109/ICCSS52145.2020.9336929",

language = "English",

series = "2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020",

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

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Liu, T, Zhang, M, Liu, G & Lv, Y 2020, Distributed Inverse Learning and Deflection-based Particle Swarm Optimization Algorithm for Multimodal Functions. in 2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020., 9336929, 2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020, Institute of Electrical and Electronics Engineers Inc., pp. 475-480, 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020, Guangzhou, China, 13/11/20. https://doi.org/10.1109/ICCSS52145.2020.9336929

Distributed Inverse Learning and Deflection-based Particle Swarm Optimization Algorithm for Multimodal Functions. / Liu, Tianqi; Zhang, Miaosen; Liu, Guohua et al.
2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 475-480 9336929 (2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020).

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

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T1 - Distributed Inverse Learning and Deflection-based Particle Swarm Optimization Algorithm for Multimodal Functions

AU - Liu, Tianqi

AU - Zhang, Miaosen

AU - Liu, Guohua

AU - Lv, Yuezu

PY - 2020/11/13

Y1 - 2020/11/13

N2 - This paper studies the multi-modal function optimization problem. By introducing the idea of inverse learning, a novel distributed inverse learning and deflection-based particle swarm optimization (DILD-PSO) algorithm is proposed, where a deflection operation is involved in the algorithm to obtain a better performance on global exploration. Simulation examples are presented to illustrate the effectiveness of the proposed DILD-PSO algorithm.

AB - This paper studies the multi-modal function optimization problem. By introducing the idea of inverse learning, a novel distributed inverse learning and deflection-based particle swarm optimization (DILD-PSO) algorithm is proposed, where a deflection operation is involved in the algorithm to obtain a better performance on global exploration. Simulation examples are presented to illustrate the effectiveness of the proposed DILD-PSO algorithm.

KW - Particle swarm optimization

KW - deflection operation

KW - distributed algorithm

KW - inverse learning

KW - multimodal function optimization

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DO - 10.1109/ICCSS52145.2020.9336929

M3 - Conference contribution

AN - SCOPUS:85100903402

T3 - 2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020

SP - 475

EP - 480

BT - 2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020

Y2 - 13 November 2020 through 15 November 2020

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Liu T, Zhang M, Liu G, Lv Y. Distributed Inverse Learning and Deflection-based Particle Swarm Optimization Algorithm for Multimodal Functions. In 2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 475-480. 9336929. (2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020). doi: 10.1109/ICCSS52145.2020.9336929

Distributed Inverse Learning and Deflection-based Particle Swarm Optimization Algorithm for Multimodal Functions

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