A New Chaotic-Based Approach for Multi-Objective Optimization

Autor:	Nassime Aslimani, Talbi El-ghazali, Rachid Ellaia
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	multi-objective optimization large-scale optimization Chaotic search Tchebychev scalarization Industrial engineering. Management engineering T55.4-60.8 Electronic computers. Computer science QA75.5-76.95
Zdroj:	Algorithms, Vol 13, Iss 9, p 204 (2020)
Druh dokumentu:	article
ISSN:	1999-4893
DOI:	10.3390/a13090204
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/95abd90dd8a64250a015f87281b40df2 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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