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Single-objective spreading algorithm

dc.contributor.authorPires, E. J. Solteiro
dc.contributor.authorMendes, Luís
dc.contributor.authorLopes, António M.
dc.contributor.authorOliveira, P. B. Moura
dc.contributor.authorMachado, J. A. Tenreiro
dc.date.accessioned2014-03-12T14:52:11Z
dc.date.available2014-03-12T14:52:11Z
dc.date.issued2013
dc.description.abstractThis paper addresses the problem of finding several different solutions with the same optimum performance in single objective real-world engineering problems. In this paper a parallel robot design is proposed. Thereby, this paper presents a genetic algorithm to optimize uni-objective problems with an infinite number of optimal solutions. The algorithm uses the maximin concept and ε-dominance to promote diversity over the admissible space. The performance of the proposed algorithm is analyzed with three well-known test functions and a function obtained from practical real-world engineering optimization problems. A spreading analysis is performed showing that the solutions drawn by the algorithm are well dispersed.por
dc.identifier.doi10.1007/978-94-007-4722-7_13pt_PT
dc.identifier.isbn978-94-007-4721-0
dc.identifier.isbn978-94-007-4722-7
dc.identifier.issn2213-8986
dc.identifier.urihttp://hdl.handle.net/10400.22/4178
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringerpor
dc.relation.ispartofseriesIntelligent Systems, Control and Automation: Science and Engineering; Vol. 61
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007%2F978-94-007-4722-7_13por
dc.titleSingle-objective spreading algorithmpor
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage142por
oaire.citation.startPage131por
oaire.citation.titleComputational Intelligence and Decision Making: Trends and Applicationspor
oaire.citation.volumeVol. 61por
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.rightsopenAccesspor
rcaap.typebookPartpor
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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