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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Main Authors: Odili, Julius Beneoluchi, M. N. M., Kahar, Noraziah, Ahmad
Format: Article
Language:English
Published: UTeM 2018
Subjects:
Online Access: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
id ump-20996
recordtype eprints
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) http://journal.utem.edu.my/index.php/jtec/article/view/3606
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Odili, Julius Beneoluchi
M. N. M., Kahar
Noraziah, Ahmad
Swarm intelligence optimization algorithms: a review
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.
format Article
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
title Swarm intelligence optimization algorithms: a review
title_short 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_sort swarm intelligence optimization algorithms: a review
publisher UTeM
publishDate 2018
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
first_indexed 2023-09-18T22:30:37Z
last_indexed 2023-09-18T22:30:37Z
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