Swarm intelligence optimization algorithms: a review
Swarm Intelligence, of late, has gradually become an exciting area of research interest to many researchers in science and engineering. The primary reason for this interest is because swarm intelligence exploits the miraculous cum harmonious working of nature in ensuring order, preservation, conserv...
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| Format: | Article |
| Language: | English |
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UTeM
2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/20996/ http://umpir.ump.edu.my/id/eprint/20996/1/Swarm%20intelligence%20optimization%20algorithms%20a%20review.pdf |
| _version_ | 1848821248024379392 |
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| author | Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad |
| author_facet | Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad |
| author_sort | Odili, Julius Beneoluchi |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Swarm Intelligence, of late, has gradually become an exciting area of research interest to many researchers in science and engineering. The primary reason for this interest is because swarm intelligence exploits the miraculous cum harmonious working of nature in ensuring order, preservation, conservation, longevity and sustenance of plants and animals in the ecosystem. As a result, researchers that believe that mimicking nature is key to solving diverse problems in engineering, technology and science has developed a number of swarm intelligence techniques. This paper presents a review of some recently developed swarm intelligence algorithms that have been successfully applied to solve a number of optimization problems with special emphasis on their application areas, strengths and observable weaknesses. This study aims to assist researchers in their choice of algorithm to solve optimization problems. |
| first_indexed | 2025-11-15T02:22:19Z |
| format | Article |
| id | ump-20996 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:22:19Z |
| publishDate | 2018 |
| publisher | UTeM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-209962018-08-17T03:52:19Z http://umpir.ump.edu.my/id/eprint/20996/ Swarm intelligence optimization algorithms: a review Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad QA76 Computer software Swarm Intelligence, of late, has gradually become an exciting area of research interest to many researchers in science and engineering. The primary reason for this interest is because swarm intelligence exploits the miraculous cum harmonious working of nature in ensuring order, preservation, conservation, longevity and sustenance of plants and animals in the ecosystem. As a result, researchers that believe that mimicking nature is key to solving diverse problems in engineering, technology and science has developed a number of swarm intelligence techniques. This paper presents a review of some recently developed swarm intelligence algorithms that have been successfully applied to solve a number of optimization problems with special emphasis on their application areas, strengths and observable weaknesses. This study aims to assist researchers in their choice of algorithm to solve optimization problems. UTeM 2018 Article PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/20996/1/Swarm%20intelligence%20optimization%20algorithms%20a%20review.pdf Odili, Julius Beneoluchi and M. N. M., Kahar and Noraziah, Ahmad (2018) Swarm intelligence optimization algorithms: a review. Journal of Telecommunication, Electronic and Computer Engineering, 10 (1-4). pp. 139-142. ISSN 2180-1843 (Print); 2289-8131 (Online). (Published) http://journal.utem.edu.my/index.php/jtec/article/view/3606 |
| spellingShingle | QA76 Computer software Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad Swarm intelligence optimization algorithms: a review |
| title | Swarm intelligence optimization algorithms: a review |
| title_full | Swarm intelligence optimization algorithms: a review |
| title_fullStr | Swarm intelligence optimization algorithms: a review |
| title_full_unstemmed | Swarm intelligence optimization algorithms: a review |
| title_short | Swarm intelligence optimization algorithms: a review |
| title_sort | swarm intelligence optimization algorithms: a review |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/20996/ http://umpir.ump.edu.my/id/eprint/20996/ http://umpir.ump.edu.my/id/eprint/20996/1/Swarm%20intelligence%20optimization%20algorithms%20a%20review.pdf |