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A new metaheuristic algorithm for global optimization over continuous search space

A new metaheuristic global optimization method for non-linear and nondifferentiable problems is proposed and described in this article It is a swarm-based method which uses spherical boundaries in a vector search-space to explore for the optimal solution Having a few numbers of parameters to be adju...

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Main Authors: Rahmani, Rasoul, Yusof, Rubiyah, Ismail, Nordinah
格式: Article
出版: ICIC Express Letters Office 2015
主题:
T Technology (General)
在线阅读:http://eprints.utm.my/id/eprint/55727/
https://www.researchgate.net/publication/281943584_A_new_metaheuristic_algorithm_for_global_optimization_over_continuous_search_space
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spelling my.utm.557272017-08-23T07:47:58Z http://eprints.utm.my/id/eprint/55727/ A new metaheuristic algorithm for global optimization over continuous search space Rahmani, Rasoul Yusof, Rubiyah Ismail, Nordinah T Technology (General) A new metaheuristic global optimization method for non-linear and nondifferentiable problems is proposed and described in this article It is a swarm-based method which uses spherical boundaries in a vector search-space to explore for the optimal solution Having a few numbers of parameters to be adjusted being robust and fast needing less memory storage size and capability of escaping from local optima are the main features of this new method To analyze and evaluate the capability of this novel method ten benchmark functions are chosen and the results are compared with two existing optimization methods which are Differential Evolution and Particle Swarm Optimization Comparisons are made based on the consistency in obtaining optimal solutions computation time and convergence profile Results show the capability of the proposed method in finding a proper and fast solution and also escaping from local optima of the problem solution-space ICIC Express Letters Office 2015-01 Article PeerReviewed Rahmani, Rasoul and Yusof, Rubiyah and Ismail, Nordinah (2015) A new metaheuristic algorithm for global optimization over continuous search space. ICIC Express Letters, 9 (5). pp. 1335-1340. ISSN 1881-803X https://www.researchgate.net/publication/281943584_A_new_metaheuristic_algorithm_for_global_optimization_over_continuous_search_space
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
spellingShingle T Technology (General)
Rahmani, Rasoul
Yusof, Rubiyah
Ismail, Nordinah
A new metaheuristic algorithm for global optimization over continuous search space
description A new metaheuristic global optimization method for non-linear and nondifferentiable problems is proposed and described in this article It is a swarm-based method which uses spherical boundaries in a vector search-space to explore for the optimal solution Having a few numbers of parameters to be adjusted being robust and fast needing less memory storage size and capability of escaping from local optima are the main features of this new method To analyze and evaluate the capability of this novel method ten benchmark functions are chosen and the results are compared with two existing optimization methods which are Differential Evolution and Particle Swarm Optimization Comparisons are made based on the consistency in obtaining optimal solutions computation time and convergence profile Results show the capability of the proposed method in finding a proper and fast solution and also escaping from local optima of the problem solution-space
format Article
author Rahmani, Rasoul
Yusof, Rubiyah
Ismail, Nordinah
author_facet Rahmani, Rasoul
Yusof, Rubiyah
Ismail, Nordinah
author_sort Rahmani, Rasoul
title A new metaheuristic algorithm for global optimization over continuous search space
title_short A new metaheuristic algorithm for global optimization over continuous search space
title_full A new metaheuristic algorithm for global optimization over continuous search space
title_fullStr A new metaheuristic algorithm for global optimization over continuous search space
title_full_unstemmed A new metaheuristic algorithm for global optimization over continuous search space
title_sort new metaheuristic algorithm for global optimization over continuous search space
publisher ICIC Express Letters Office
publishDate 2015
url http://eprints.utm.my/id/eprint/55727/
https://www.researchgate.net/publication/281943584_A_new_metaheuristic_algorithm_for_global_optimization_over_continuous_search_space
_version_ 1643653883327676416
score 13.251813

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