Swarm intelligence optimization algorithms: a review

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)

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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.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Swarm intelligence; Optimization problems; Algorithms; Application areas; Algorithm’s strengths and weaknesses
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Centre of Excellence: IBM Centre of Excellence
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 17 Aug 2018 03:52
Last Modified: 17 Aug 2018 03:52
URI: http://umpir.ump.edu.my/id/eprint/20996
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