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Multi-objective MaxiMin Sorting Scheme

dc.contributor.authorPires, E. J. Solteiro
dc.contributor.authorOliveira, P. B. Moura
dc.contributor.authorTenreiro Machado, J. A.
dc.date.accessioned2019-03-25T15:41:42Z
dc.date.available2019-03-25T15:41:42Z
dc.date.issued2005-03
dc.description.abstractObtaining a well distributed non-dominated Pareto front is one of the key issues in multi-objective optimization algorithms. this paper proposes a new variant for the elitist selection operator to the NSGA-II algorithm, which promotes well distributed non-dominated fronts. The basic idea is to replace the crowding distance method by a maximin technique. the proposed technique is deployed in well know test functions and compared with the crowding is performed in terms of achieved front solutions distribution by using distance performance indices.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.doi10.1007/978-3-540-31880-4_12
dc.identifier.urihttp://hdl.handle.net/10400.22/13117
dc.language.isoengpt_PT
dc.titleMulti-objective MaxiMin Sorting Schemept_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceGuanajuato, Mexicopt_PT
oaire.citation.endPage13pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title3rd International Conference, EMO 2005pt_PT
person.familyNameTenreiro Machado
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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