Multi-objective single agent stochastic search in non-dominated sorting genetic algorithm

A hybrid multi-objective optimization algorithm based on genetic algorithm and stochastic local search is developed and evaluated. The single agent stochastic search local optimization algorithm has been modified in order to be suitable for multi-objective optimization where the local optimization...

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Bibliographic Details
Main Authors:	Algirdas Lančinskas, Pilar Martinez Ortigosa, Julius Žilinskas
Format:	Article
Language:	English
Published:	Vilnius University Press 2013-07-01
Series:	Nonlinear Analysis
Subjects:	multi-objective optimization Pareto set non-dominated sorting genetic algorithm single agent stochastic search
Online Access:	http://www.journals.vu.lt/nonlinear-analysis/article/view/14011

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spelling	doaj-86e0e164b1074b75ae189f71a2b2a6302020-11-25T01:29:36ZengVilnius University PressNonlinear Analysis1392-51132335-89632013-07-01183Multi-objective single agent stochastic search in non-dominated sorting genetic algorithmAlgirdas Lančinskas0Pilar Martinez Ortigosa1Julius Žilinskas2Vilnius University, LithuaniaUniversidad de Almería, SpainVilnius University, Lithuania A hybrid multi-objective optimization algorithm based on genetic algorithm and stochastic local search is developed and evaluated. The single agent stochastic search local optimization algorithm has been modified in order to be suitable for multi-objective optimization where the local optimization is performed towards non-dominated points. The presented algorithm has been experimentally investigated by solving a set of well known test problems, and evaluated according to several metrics for measuring the performance of algorithms for multi-objective optimization. Results of the experimental investigation are presented and discussed. http://www.journals.vu.lt/nonlinear-analysis/article/view/14011multi-objective optimizationPareto setnon-dominated sorting genetic algorithmsingle agent stochastic search
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Algirdas Lančinskas Pilar Martinez Ortigosa Julius Žilinskas
spellingShingle	Algirdas Lančinskas Pilar Martinez Ortigosa Julius Žilinskas Multi-objective single agent stochastic search in non-dominated sorting genetic algorithm Nonlinear Analysis multi-objective optimization Pareto set non-dominated sorting genetic algorithm single agent stochastic search
author_facet	Algirdas Lančinskas Pilar Martinez Ortigosa Julius Žilinskas
author_sort	Algirdas Lančinskas
title	Multi-objective single agent stochastic search in non-dominated sorting genetic algorithm
title_short	Multi-objective single agent stochastic search in non-dominated sorting genetic algorithm
title_full	Multi-objective single agent stochastic search in non-dominated sorting genetic algorithm
title_fullStr	Multi-objective single agent stochastic search in non-dominated sorting genetic algorithm
title_full_unstemmed	Multi-objective single agent stochastic search in non-dominated sorting genetic algorithm
title_sort	multi-objective single agent stochastic search in non-dominated sorting genetic algorithm
publisher	Vilnius University Press
series	Nonlinear Analysis
issn	1392-5113 2335-8963
publishDate	2013-07-01
description	A hybrid multi-objective optimization algorithm based on genetic algorithm and stochastic local search is developed and evaluated. The single agent stochastic search local optimization algorithm has been modified in order to be suitable for multi-objective optimization where the local optimization is performed towards non-dominated points. The presented algorithm has been experimentally investigated by solving a set of well known test problems, and evaluated according to several metrics for measuring the performance of algorithms for multi-objective optimization. Results of the experimental investigation are presented and discussed.
topic	multi-objective optimization Pareto set non-dominated sorting genetic algorithm single agent stochastic search
url	http://www.journals.vu.lt/nonlinear-analysis/article/view/14011
work_keys_str_mv	AT algirdaslancinskas multiobjectivesingleagentstochasticsearchinnondominatedsortinggeneticalgorithm AT pilarmartinezortigosa multiobjectivesingleagentstochasticsearchinnondominatedsortinggeneticalgorithm AT juliuszilinskas multiobjectivesingleagentstochasticsearchinnondominatedsortinggeneticalgorithm
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Multi-objective single agent stochastic search in non-dominated sorting genetic algorithm

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