A New Chaotic-Based Approach for Multi-Objective Optimization

Multi-objective optimization problems (MOPs) have been widely studied during the last decades. In this paper, we present a new approach based on Chaotic search to solve MOPs. Various Tchebychev scalarization strategies have been investigated. Moreover, a comparison with state of the art algorithms o...

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Main Authors:	Nassime Aslimani, Talbi El-ghazalii, Rachid Ellaia
Format:	Article
Language:	English
Published:	MDPI AG 2020-08-01
Series:	Algorithms
Subjects:	multi-objective optimization large-scale optimization Chaotic search Tchebychev scalarization
Online Access:	https://www.mdpi.com/1999-4893/13/9/204

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spelling	doaj-95abd90dd8a64250a015f87281b40df22020-11-25T03:36:31ZengMDPI AGAlgorithms1999-48932020-08-011320420410.3390/a13090204A New Chaotic-Based Approach for Multi-Objective OptimizationNassime Aslimani0Talbi El-ghazalii1Rachid Ellaia2INRIA Lille—Nord Europe Parc Scientifique de la Haute Borne, 40, Avenue Halley, Bat A, 59650 Villeneuve d’Ascq, FranceINRIA Lille—Nord Europe Parc Scientifique de la Haute Borne, 40, Avenue Halley, Bat A, 59650 Villeneuve d’Ascq, FranceLERMA Laboratory, Mohammadia school of engineering, Mohammed V University in Rabat, Rabat 10040, MoroccoMulti-objective optimization problems (MOPs) have been widely studied during the last decades. In this paper, we present a new approach based on Chaotic search to solve MOPs. Various Tchebychev scalarization strategies have been investigated. Moreover, a comparison with state of the art algorithms on different well known bound constrained benchmarks shows the efficiency and the effectiveness of the proposed Chaotic search approach.https://www.mdpi.com/1999-4893/13/9/204multi-objective optimizationlarge-scale optimizationChaotic searchTchebychev scalarization
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Nassime Aslimani Talbi El-ghazalii Rachid Ellaia
spellingShingle	Nassime Aslimani Talbi El-ghazalii Rachid Ellaia A New Chaotic-Based Approach for Multi-Objective Optimization Algorithms multi-objective optimization large-scale optimization Chaotic search Tchebychev scalarization
author_facet	Nassime Aslimani Talbi El-ghazalii Rachid Ellaia
author_sort	Nassime Aslimani
title	A New Chaotic-Based Approach for Multi-Objective Optimization
title_short	A New Chaotic-Based Approach for Multi-Objective Optimization
title_full	A New Chaotic-Based Approach for Multi-Objective Optimization
title_fullStr	A New Chaotic-Based Approach for Multi-Objective Optimization
title_full_unstemmed	A New Chaotic-Based Approach for Multi-Objective Optimization
title_sort	new chaotic-based approach for multi-objective optimization
publisher	MDPI AG
series	Algorithms
issn	1999-4893
publishDate	2020-08-01
description	Multi-objective optimization problems (MOPs) have been widely studied during the last decades. In this paper, we present a new approach based on Chaotic search to solve MOPs. Various Tchebychev scalarization strategies have been investigated. Moreover, a comparison with state of the art algorithms on different well known bound constrained benchmarks shows the efficiency and the effectiveness of the proposed Chaotic search approach.
topic	multi-objective optimization large-scale optimization Chaotic search Tchebychev scalarization
url	https://www.mdpi.com/1999-4893/13/9/204
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A New Chaotic-Based Approach for Multi-Objective Optimization

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