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dc.contributor.authorMînzu, Viorel
dc.date.accessioned2018-01-09T13:33:39Z
dc.date.available2018-01-09T13:33:39Z
dc.date.issued2017
dc.identifier.issn2344-4738
dc.identifier.urihttp://arthra.ugal.ro/xmlui/handle/123456789/5038
dc.descriptionTHE ANNALS OF “DUNAREA DE JOS” UNIVERSITY OF GALATI FASCICLE III, 2017, VOL. 40, NO. 2, ISSN 2344-4738, ISSN-L 1221-454X ELECTROTECHNICS, ELECTRONICS, AUTOMATIC CONTROL, INFORMATICSro_RO
dc.description.abstractOptimal Control Problems involve dynamic systems that are subject to algebraic or differential constraints and whose evolution may be characterized by a performance index. Such a problem can be solved by the well known Evolutionary Algorithms. This paper proposes an evolutionary algorithm having usual characteristics concerning the mutation and crossover operators. Generally speaking, the EA gave good results and the convergence was acceptable. But for a specific problem instance, the evolutionary algorithm underperformed on the first simulation series. Therefore, the paper proposes a new mutation operator having adaptive Gaussian standard deviation of genes' values variation.ro_RO
dc.language.isoenro_RO
dc.subjectoptimal controlro_RO
dc.subjectEvolutionary Algorithmro_RO
dc.subjectmutationro_RO
dc.subjectadaptive Gaussian standard deviationro_RO
dc.titleOptimal Control Using Evolutionary Algorithmsro_RO
dc.typeArticlero_RO


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