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A new mechanism for maintaining diversity of Pareto archive in multi-objective optimization
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SYSNO ASEP 0346694 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title A new mechanism for maintaining diversity of Pareto archive in multi-objective optimization Author(s) Hájek, J. (CZ)
Szöllös, A. (CZ)
Šístek, Jakub (MU-W) RID, ORCID, SAISource Title Advances in Engineering Software. - : Elsevier - ISSN 0965-9978
Roč. 41, 7-8 (2010), s. 1031-1057Number of pages 27 s. Language eng - English Country NL - Netherlands Keywords multi-objective optimization ; micro-genetic algorithm ; diversity ; Pareto archive Subject RIV BA - General Mathematics R&D Projects IAA100760702 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) CEZ AV0Z10190503 - MU-W (2005-2011) UT WOS 000281267100018 EID SCOPUS 77955468283 DOI 10.1016/j.advengsoft.2010.03.003 Annotation The article introduces a new mechanism for selecting individuals to a Pareto archive. It was combined with a micro-genetic algorithm and tested on several problems. The ability of this approach to produce individuals uniformly distributed along the Pareto set without negative impact on convergence is demonstrated on presented results. The new concept was confronted with NSGA-II, SPEA2, and IBERA algorithms from the PISA package. Another studied effect is the size of population versus number of generations for small populations. Workplace Mathematical Institute Contact Jarmila Štruncová, struncova@math.cas.cz, library@math.cas.cz, Tel.: 222 090 757 Year of Publishing 2011
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