Comparative study of meta-heuristics optimization algorithm using benchmark function

Meta-heuristics optimization is becoming a popular tool for solving numerous problems in real-world application due to the ability to overcome many shortcomings in traditional optimization. Despite of the good performance, there is limitation in some algorithms that deteriorates by certain degree of...

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Main Authors: Ismail, I., Halim, A.H.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.19468 /
Published: Institute of Advanced Engineering and Science 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021102148&doi=10.11591%2fijece.v7i3.pp1643-1650&partnerID=40&md5=baea71ff36dd801108ea87b69a5a1a2a
http://eprints.utp.edu.my/19468/
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spelling utp-eprints.194682018-04-20T05:59:19Z Comparative study of meta-heuristics optimization algorithm using benchmark function Ismail, I. Halim, A.H. Meta-heuristics optimization is becoming a popular tool for solving numerous problems in real-world application due to the ability to overcome many shortcomings in traditional optimization. Despite of the good performance, there is limitation in some algorithms that deteriorates by certain degree of problem type. Therefore it is necessary to compare the performance of these algorithms with certain problem type. This paper compares 7 meta-heuristics optimization with 11 benchmark functions that exhibits certain difficulties and can be assumed as a simulation relevant to the real-world problems. The tested benchmark function has different type of problem such as modality, separability, discontinuity and surface effects with steep-drop global optimum, bowl- A nd plateau-typed function. Some of the proposed function has the combination of these problems, which might increase the difficulty level of search towards global optimum. The performance comparison includes computation time and convergence of global optimum. © 2017 Institute of Advanced Engineering and Science. Institute of Advanced Engineering and Science 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021102148&doi=10.11591%2fijece.v7i3.pp1643-1650&partnerID=40&md5=baea71ff36dd801108ea87b69a5a1a2a Ismail, I. and Halim, A.H. (2017) Comparative study of meta-heuristics optimization algorithm using benchmark function. International Journal of Electrical and Computer Engineering, 7 (3). pp. 1643-1650. http://eprints.utp.edu.my/19468/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Meta-heuristics optimization is becoming a popular tool for solving numerous problems in real-world application due to the ability to overcome many shortcomings in traditional optimization. Despite of the good performance, there is limitation in some algorithms that deteriorates by certain degree of problem type. Therefore it is necessary to compare the performance of these algorithms with certain problem type. This paper compares 7 meta-heuristics optimization with 11 benchmark functions that exhibits certain difficulties and can be assumed as a simulation relevant to the real-world problems. The tested benchmark function has different type of problem such as modality, separability, discontinuity and surface effects with steep-drop global optimum, bowl- A nd plateau-typed function. Some of the proposed function has the combination of these problems, which might increase the difficulty level of search towards global optimum. The performance comparison includes computation time and convergence of global optimum. © 2017 Institute of Advanced Engineering and Science.
format Article
author Ismail, I.
Halim, A.H.
spellingShingle Ismail, I.
Halim, A.H.
Comparative study of meta-heuristics optimization algorithm using benchmark function
author_sort Ismail, I.
title Comparative study of meta-heuristics optimization algorithm using benchmark function
title_short Comparative study of meta-heuristics optimization algorithm using benchmark function
title_full Comparative study of meta-heuristics optimization algorithm using benchmark function
title_fullStr Comparative study of meta-heuristics optimization algorithm using benchmark function
title_full_unstemmed Comparative study of meta-heuristics optimization algorithm using benchmark function
title_sort comparative study of meta-heuristics optimization algorithm using benchmark function
publisher Institute of Advanced Engineering and Science
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021102148&doi=10.11591%2fijece.v7i3.pp1643-1650&partnerID=40&md5=baea71ff36dd801108ea87b69a5a1a2a
http://eprints.utp.edu.my/19468/
_version_ 1741196211450281984
score 11.62408

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