Revised Gravitational Search Algorithms Based on Evolutionary-Fuzzy Systems
The choice of the best optimization algorithm is a hard issue, and it sometime depends on specific problem. The Gravitational Search Algorithm (GSA) is a search algorithm based on the law of gravity, which states that each particle attracts every other particle with a force called gravitational forc...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-04-01
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| Series: | Algorithms |
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| Online Access: | http://www.mdpi.com/1999-4893/10/2/44 |
| _version_ | 1819150439931707392 |
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| author | Danilo Pelusi Raffaele Mascella Luca Tallini |
| author_facet | Danilo Pelusi Raffaele Mascella Luca Tallini |
| author_sort | Danilo Pelusi |
| collection | DOAJ |
| description | The choice of the best optimization algorithm is a hard issue, and it sometime depends on specific problem. The Gravitational Search Algorithm (GSA) is a search algorithm based on the law of gravity, which states that each particle attracts every other particle with a force called gravitational force. Some revised versions of GSA have been proposed by using intelligent techniques. This work proposes some GSA versions based on fuzzy techniques powered by evolutionary methods, such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE), to improve GSA. The designed algorithms tune a suitable parameter of GSA through a fuzzy controller whose membership functions are optimized by GA, PSO and DE. The results show that Fuzzy Gravitational Search Algorithm (FGSA) optimized by DE is optimal for unimodal functions, whereas FGSA optimized through GA is good for multimodal functions. |
| first_indexed | 2024-12-22T14:17:32Z |
| format | Article |
| id | doaj.art-43fd5c5788e545da8cbc483345f03767 |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-12-22T14:17:32Z |
| publishDate | 2017-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-43fd5c5788e545da8cbc483345f037672022-12-21T18:23:04ZengMDPI AGAlgorithms1999-48932017-04-011024410.3390/a10020044a10020044Revised Gravitational Search Algorithms Based on Evolutionary-Fuzzy SystemsDanilo Pelusi0Raffaele Mascella1Luca Tallini2Department of Communication Sciences, University of Teramo, 64100 Teramo, ItalyDepartment of Communication Sciences, University of Teramo, 64100 Teramo, ItalyDepartment of Communication Sciences, University of Teramo, 64100 Teramo, ItalyThe choice of the best optimization algorithm is a hard issue, and it sometime depends on specific problem. The Gravitational Search Algorithm (GSA) is a search algorithm based on the law of gravity, which states that each particle attracts every other particle with a force called gravitational force. Some revised versions of GSA have been proposed by using intelligent techniques. This work proposes some GSA versions based on fuzzy techniques powered by evolutionary methods, such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE), to improve GSA. The designed algorithms tune a suitable parameter of GSA through a fuzzy controller whose membership functions are optimized by GA, PSO and DE. The results show that Fuzzy Gravitational Search Algorithm (FGSA) optimized by DE is optimal for unimodal functions, whereas FGSA optimized through GA is good for multimodal functions.http://www.mdpi.com/1999-4893/10/2/44gravitational search algorithmfuzzy systemsevolutionary algorithm |
| spellingShingle | Danilo Pelusi Raffaele Mascella Luca Tallini Revised Gravitational Search Algorithms Based on Evolutionary-Fuzzy Systems Algorithms gravitational search algorithm fuzzy systems evolutionary algorithm |
| title | Revised Gravitational Search Algorithms Based on Evolutionary-Fuzzy Systems |
| title_full | Revised Gravitational Search Algorithms Based on Evolutionary-Fuzzy Systems |
| title_fullStr | Revised Gravitational Search Algorithms Based on Evolutionary-Fuzzy Systems |
| title_full_unstemmed | Revised Gravitational Search Algorithms Based on Evolutionary-Fuzzy Systems |
| title_short | Revised Gravitational Search Algorithms Based on Evolutionary-Fuzzy Systems |
| title_sort | revised gravitational search algorithms based on evolutionary fuzzy systems |
| topic | gravitational search algorithm fuzzy systems evolutionary algorithm |
| url | http://www.mdpi.com/1999-4893/10/2/44 |
| work_keys_str_mv | AT danilopelusi revisedgravitationalsearchalgorithmsbasedonevolutionaryfuzzysystems AT raffaelemascella revisedgravitationalsearchalgorithmsbasedonevolutionaryfuzzysystems AT lucatallini revisedgravitationalsearchalgorithmsbasedonevolutionaryfuzzysystems |