An improved chaotic firefly algorithm for global numerical optimization
Firefly algorithm (FA) is a prominent metaheuristc technique. It has been widely studied and hence there are a lot of modified FA variants proposed to solve hard optimization problems from various areas. In this paper an improved chaotic firefly algorithm (ICFA) is proposed for solving global optimi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2018-11-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25905187/view |
| _version_ | 1811301029146263552 |
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| author | Ivona Brajević Predrag Stanimirović |
| author_facet | Ivona Brajević Predrag Stanimirović |
| author_sort | Ivona Brajević |
| collection | DOAJ |
| description | Firefly algorithm (FA) is a prominent metaheuristc technique. It has been widely studied and hence there are a lot of modified FA variants proposed to solve hard optimization problems from various areas. In this paper an improved chaotic firefly algorithm (ICFA) is proposed for solving global optimization problems. The ICFA uses firefly algorithm with chaos (CFA) as the parent algorithm since it replaces the attractiveness coefficient by the outputs of the chaotic map. The enhancement of the proposed approach involves introducing a novel search strategy which is able to obtain a good ratio between exploration and exploitation abilities of the algorithm. The impact of the introduced search operator on the performance of the ICFA is evaluated. Experiments are conducted on nineteen well-known benchmark functions. Results reveal that the ICFA is able to significantly improve the performance of the standard FA, CFA and four other recently proposed FA variants. |
| first_indexed | 2024-04-13T07:01:27Z |
| format | Article |
| id | doaj.art-dc3b40a11e6f4b8eba9c6f223e1fd1e7 |
| institution | Directory Open Access Journal |
| issn | 1875-6883 |
| language | English |
| last_indexed | 2024-04-13T07:01:27Z |
| publishDate | 2018-11-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj.art-dc3b40a11e6f4b8eba9c6f223e1fd1e72022-12-22T02:57:07ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832018-11-0112110.2991/ijcis.2018.25905187An improved chaotic firefly algorithm for global numerical optimizationIvona BrajevićPredrag StanimirovićFirefly algorithm (FA) is a prominent metaheuristc technique. It has been widely studied and hence there are a lot of modified FA variants proposed to solve hard optimization problems from various areas. In this paper an improved chaotic firefly algorithm (ICFA) is proposed for solving global optimization problems. The ICFA uses firefly algorithm with chaos (CFA) as the parent algorithm since it replaces the attractiveness coefficient by the outputs of the chaotic map. The enhancement of the proposed approach involves introducing a novel search strategy which is able to obtain a good ratio between exploration and exploitation abilities of the algorithm. The impact of the introduced search operator on the performance of the ICFA is evaluated. Experiments are conducted on nineteen well-known benchmark functions. Results reveal that the ICFA is able to significantly improve the performance of the standard FA, CFA and four other recently proposed FA variants.https://www.atlantis-press.com/article/25905187/viewFirefly algorithmchaosglobal optimizationnature-inspired algorithmsexploitationexploration |
| spellingShingle | Ivona Brajević Predrag Stanimirović An improved chaotic firefly algorithm for global numerical optimization International Journal of Computational Intelligence Systems Firefly algorithm chaos global optimization nature-inspired algorithms exploitation exploration |
| title | An improved chaotic firefly algorithm for global numerical optimization |
| title_full | An improved chaotic firefly algorithm for global numerical optimization |
| title_fullStr | An improved chaotic firefly algorithm for global numerical optimization |
| title_full_unstemmed | An improved chaotic firefly algorithm for global numerical optimization |
| title_short | An improved chaotic firefly algorithm for global numerical optimization |
| title_sort | improved chaotic firefly algorithm for global numerical optimization |
| topic | Firefly algorithm chaos global optimization nature-inspired algorithms exploitation exploration |
| url | https://www.atlantis-press.com/article/25905187/view |
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