A Novel Multi-Objective Self-Organizing Migrating Algorithm

dc.contributor.authorKadlec, Petr
dc.contributor.authorRaida, Zbynek
dc.coverage.issue4cs
dc.coverage.volume20cs
dc.date.accessioned2016-03-01T09:16:15Z
dc.date.available2016-03-01T09:16:15Z
dc.date.issued2011-12cs
dc.description.abstractIn the paper, a novel stochastic Multi-Objective Self Organizing Migrating Algorithm (MOSOMA) is introduced. For the search of optima, MOSOMA employs a migration technique used in a single-objective Self Organizing Migrating Algorithm (SOMA). In order to obtain a uniform distribution of Pareto optimal solutions, a novel technique considering Euclidian distances among solutions is introduced. MOSOMA performance was tested on benchmark problems and selected electromagnetic structures. MOSOMA performance was compared with the performance of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and the Strength Pareto Evolutionary Algorithm 2 (SPEA2). MOSOMA excels in the uniform distribution of solutions and their completeness.en
dc.formattextcs
dc.format.extent804-816cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2011, vol. 20, č. 4, s. 804-816. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/56917
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2011/11_04_804_816.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectMulti-objective optimizationen
dc.subjectself-organizing migrating algorithmen
dc.subjectPareto front of optimal solutionsen
dc.titleA Novel Multi-Objective Self-Organizing Migrating Algorithmen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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