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Zastosuj identyfikator do podlinkowania lub zacytowania tej pozycji: http://hdl.handle.net/20.500.12128/3780
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dc.contributor.authorGościniak, Ireneusz-
dc.date.accessioned2018-05-21T08:46:38Z-
dc.date.available2018-05-21T08:46:38Z-
dc.date.issued2017-
dc.identifier.citationSoft Computing, Vol. 21, iss. 14 (2017), s. 3945-3956pl_PL
dc.identifier.issn1432-7643-
dc.identifier.urihttp://hdl.handle.net/20.500.12128/3780-
dc.description.abstractA group of immune systems is similar to a multi-population system. Immune systems can be influenced by vaccines and serums, similarly to that which occurs in nature. The discussed algorithm has more parameters of work control than other immune algorithms. Fractal and multi-fractal analyses of the proposed algorithm, supported by quantitative analysis, are discussed. Fractal and multifractal analyses illustrate the algorithm behaviour. These analyses allow comparing algorithm settings considering their impact on the exploration and exploitation of the solution space. Fractal and multifractal analyses will be a valuable completion of knowledge of their work mechanisms.pl_PL
dc.language.isoenpl_PL
dc.rightsUznanie autorstwa 3.0 Polska*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/pl/*
dc.subjectArtificial intelligencepl_PL
dc.subjectEntropypl_PL
dc.subjectFractal analysispl_PL
dc.subjectGenetic material exchangepl_PL
dc.subjectGroup of immune algorithmspl_PL
dc.subjectImmune algorithmpl_PL
dc.subjectMultifractal analysispl_PL
dc.subjectOptimization methodpl_PL
dc.titleDiscussion of the Semi-Immune Algorithm Behaviour Based on Fractal Analysispl_PL
dc.typeinfo:eu-repo/semantics/articlepl_PL
dc.identifier.doi10.1007/s00500-016-2044-y-
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