International Journal of Computational Intelligence Systems

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Volume 13, Issue 1, 2020, Pages 893 - 903

An Improved Parameter Control Based on a Fuzzy System for Gravitational Search Algorithm

Authors
Yu Xianrui2, Yu Xiaobing1, 2, *, Li Chenliang2, Chen Hong2
1Key Laboratory of Meteorological Disaster (KLME), Ministry of Education and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
2School of Management Science and Engineering Nanjing University of Information Science and Technology, Nanjing 210044, China
*Corresponding author. Email: yuxb111@163.com
Corresponding Author
Yu Xiaobing
Received 7 October 2019, Accepted 12 May 2020, Available Online 25 June 2020.
DOI
10.2991/ijcis.d.200615.001How to use a DOI?
Keywords
Gravitational search algorithm; Fuzzy system; Fuzzy rules; Optimization
Abstract

Recently, a kind of heuristic optimization algorithm named gravitational search algorithm (GSA) has been rapidly developed. In GSA, there are two main parameters that control the search process, namely, the number of applied agents (Kbest) and the gravity constant (G). To balance exploration and exploitation, a fuzzy system containing twelve fuzzy rules is proposed to intelligently control the parameter setting of the GSA. The proposed method can enhance the convergence ability and yield better optimization results. The performance of fuzzy GSA (FGSA) is examined by fifteen benchmark functions. Extensive experimental results are tested and compared with those of the original GSA, CGSA, CLPSO, NFGSA, PSGSA and EKRGSA.

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
13 - 1
Pages
893 - 903
Publication Date
2020/06/25
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.200615.001How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Yu Xianrui
AU  - Yu Xiaobing
AU  - Li Chenliang
AU  - Chen Hong
PY  - 2020
DA  - 2020/06/25
TI  - An Improved Parameter Control Based on a Fuzzy System for Gravitational Search Algorithm
JO  - International Journal of Computational Intelligence Systems
SP  - 893
EP  - 903
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200615.001
DO  - 10.2991/ijcis.d.200615.001
ID  - Xianrui2020
ER  -