An Improved Parameter Control Based on a Fuzzy System for Gravitational Search Algorithm
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 exp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2020-06-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/125941522/view |
| _version_ | 1828365504451969024 |
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| author | Yu Xianrui Yu Xiaobing Li Chenliang Chen Hong |
| author_facet | Yu Xianrui Yu Xiaobing Li Chenliang Chen Hong |
| author_sort | Yu Xianrui |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-14T05:32:01Z |
| format | Article |
| id | doaj.art-83d24f69e4524454a5fa91e6755e2f3a |
| institution | Directory Open Access Journal |
| issn | 1875-6883 |
| language | English |
| last_indexed | 2024-04-14T05:32:01Z |
| publishDate | 2020-06-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj.art-83d24f69e4524454a5fa91e6755e2f3a2022-12-22T02:09:46ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832020-06-0113110.2991/ijcis.d.200615.001An Improved Parameter Control Based on a Fuzzy System for Gravitational Search AlgorithmYu XianruiYu XiaobingLi ChenliangChen HongRecently, 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.https://www.atlantis-press.com/article/125941522/viewGravitational search algorithmFuzzy systemFuzzy rulesOptimization |
| spellingShingle | Yu Xianrui Yu Xiaobing Li Chenliang Chen Hong An Improved Parameter Control Based on a Fuzzy System for Gravitational Search Algorithm International Journal of Computational Intelligence Systems Gravitational search algorithm Fuzzy system Fuzzy rules Optimization |
| title | An Improved Parameter Control Based on a Fuzzy System for Gravitational Search Algorithm |
| title_full | An Improved Parameter Control Based on a Fuzzy System for Gravitational Search Algorithm |
| title_fullStr | An Improved Parameter Control Based on a Fuzzy System for Gravitational Search Algorithm |
| title_full_unstemmed | An Improved Parameter Control Based on a Fuzzy System for Gravitational Search Algorithm |
| title_short | An Improved Parameter Control Based on a Fuzzy System for Gravitational Search Algorithm |
| title_sort | improved parameter control based on a fuzzy system for gravitational search algorithm |
| topic | Gravitational search algorithm Fuzzy system Fuzzy rules Optimization |
| url | https://www.atlantis-press.com/article/125941522/view |
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