Improved Gravitational Search Algorithm with Elite Local Exploitation and Enlarged Gravity Constant

Qiong Fu; Qianrui Yu; Haotian Li; Yifei Yang; Meng Jia; Shangce Gao

doi:10.1109/ISCID59865.2023.00009

Improved Gravitational Search Algorithm with Elite Local Exploitation and Enlarged Gravity Constant

Qiong Fu, Qianrui Yu, Haotian Li, Yifei Yang, Meng Jia^*, Shangce Gao^*

^*Corresponding author for this work

Intellectual Information Engineering

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

Abstract

The Newtonian gravity laws serve as the foundation for the gravitational search algorithm (GSA). It employs the gravitational force to govern the interaction and evolution of individuals. Despite achieving notable success, conventional GSA suffers from premature convergence and limited search ability. To address these issues, we propose an improved gravitational search algorithm with elite local exploitation and enlarged gravity constant (EGSA), which incorporates an elite local search strategy. This strategy enhances the algorithm’s ability to escape local optima and accelerates convergence. Using the IEEE CEC2017 benchmark test functions, we compare the effectiveness of the proposed approach to that of the current GSA variations.

Original language	English
Title of host publication	Proceedings - 2023 16th International Symposium on Computational Intelligence and Design, ISCID 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9798350317459
DOIs	https://doi.org/10.1109/ISCID59865.2023.00009
State	Published - 2023
Event	16th International Symposium on Computational Intelligence and Design, ISCID 2023 - Hangzhou, China Duration: 2023/12/16 → 2023/12/17

Publication series

Name	Proceedings - 2023 16th International Symposium on Computational Intelligence and Design, ISCID 2023

Conference

Conference	16th International Symposium on Computational Intelligence and Design, ISCID 2023
Country/Territory	China
City	Hangzhou
Period	2023/12/16 → 2023/12/17

Keywords

Elite strategy
Evolutionary algorithms
Exploitation
Gravitational search algorithm

ASJC Scopus subject areas

Modeling and Simulation
Artificial Intelligence
Computer Graphics and Computer-Aided Design
Computer Science Applications
Human-Computer Interaction
Software
Education

Access to Document

10.1109/ISCID59865.2023.00009

Cite this

Fu, Q., Yu, Q., Li, H., Yang, Y., Jia, M., & Gao, S. (2023). Improved Gravitational Search Algorithm with Elite Local Exploitation and Enlarged Gravity Constant. In Proceedings - 2023 16th International Symposium on Computational Intelligence and Design, ISCID 2023 (pp. 1-4). (Proceedings - 2023 16th International Symposium on Computational Intelligence and Design, ISCID 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCID59865.2023.00009

Fu, Qiong ; Yu, Qianrui ; Li, Haotian et al. / Improved Gravitational Search Algorithm with Elite Local Exploitation and Enlarged Gravity Constant. Proceedings - 2023 16th International Symposium on Computational Intelligence and Design, ISCID 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1-4 (Proceedings - 2023 16th International Symposium on Computational Intelligence and Design, ISCID 2023).

@inproceedings{3ee92cb082fd49b2bd53b49fbd46606c,

title = "Improved Gravitational Search Algorithm with Elite Local Exploitation and Enlarged Gravity Constant",

abstract = "The Newtonian gravity laws serve as the foundation for the gravitational search algorithm (GSA). It employs the gravitational force to govern the interaction and evolution of individuals. Despite achieving notable success, conventional GSA suffers from premature convergence and limited search ability. To address these issues, we propose an improved gravitational search algorithm with elite local exploitation and enlarged gravity constant (EGSA), which incorporates an elite local search strategy. This strategy enhances the algorithm{\textquoteright}s ability to escape local optima and accelerates convergence. Using the IEEE CEC2017 benchmark test functions, we compare the effectiveness of the proposed approach to that of the current GSA variations.",

keywords = "Elite strategy, Evolutionary algorithms, Exploitation, Gravitational search algorithm",

author = "Qiong Fu and Qianrui Yu and Haotian Li and Yifei Yang and Meng Jia and Shangce Gao",

note = "Publisher Copyright: {\textcopyright}2023 IEEE.; 16th International Symposium on Computational Intelligence and Design, ISCID 2023 ; Conference date: 16-12-2023 Through 17-12-2023",

year = "2023",

doi = "10.1109/ISCID59865.2023.00009",

language = "英語",

series = "Proceedings - 2023 16th International Symposium on Computational Intelligence and Design, ISCID 2023",

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

pages = "1--4",

booktitle = "Proceedings - 2023 16th International Symposium on Computational Intelligence and Design, ISCID 2023",

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Fu, Q, Yu, Q, Li, H, Yang, Y, Jia, M & Gao, S 2023, Improved Gravitational Search Algorithm with Elite Local Exploitation and Enlarged Gravity Constant. in Proceedings - 2023 16th International Symposium on Computational Intelligence and Design, ISCID 2023. Proceedings - 2023 16th International Symposium on Computational Intelligence and Design, ISCID 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 16th International Symposium on Computational Intelligence and Design, ISCID 2023, Hangzhou, China, 2023/12/16. https://doi.org/10.1109/ISCID59865.2023.00009

Improved Gravitational Search Algorithm with Elite Local Exploitation and Enlarged Gravity Constant. / Fu, Qiong; Yu, Qianrui; Li, Haotian et al.
Proceedings - 2023 16th International Symposium on Computational Intelligence and Design, ISCID 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1-4 (Proceedings - 2023 16th International Symposium on Computational Intelligence and Design, ISCID 2023).

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

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AB - The Newtonian gravity laws serve as the foundation for the gravitational search algorithm (GSA). It employs the gravitational force to govern the interaction and evolution of individuals. Despite achieving notable success, conventional GSA suffers from premature convergence and limited search ability. To address these issues, we propose an improved gravitational search algorithm with elite local exploitation and enlarged gravity constant (EGSA), which incorporates an elite local search strategy. This strategy enhances the algorithm’s ability to escape local optima and accelerates convergence. Using the IEEE CEC2017 benchmark test functions, we compare the effectiveness of the proposed approach to that of the current GSA variations.

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Fu Q, Yu Q, Li H, Yang Y, Jia M, Gao S. Improved Gravitational Search Algorithm with Elite Local Exploitation and Enlarged Gravity Constant. In Proceedings - 2023 16th International Symposium on Computational Intelligence and Design, ISCID 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1-4. (Proceedings - 2023 16th International Symposium on Computational Intelligence and Design, ISCID 2023). doi: 10.1109/ISCID59865.2023.00009

Improved Gravitational Search Algorithm with Elite Local Exploitation and Enlarged Gravity Constant

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Keywords

ASJC Scopus subject areas

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