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Implementation of Immunological Algorithms in Solving Optimization Problems

dc.creatorČisar, Petar
dc.creatorMaravić-Cisar, Sanja
dc.creatorMarkoski, Branko
dc.date.accessioned2019-03-21T16:05:16Z
dc.date.available2019-03-21T16:05:16Z
dc.date.issued2014
dc.identifier.issn1785-8860
dc.identifier.urihttp://jakov.kpu.edu.rs/handle/123456789/614
dc.description.abstractThis paper gives a global review of artificial immune systems in computer science and their implementation. The performance of the immunological algorithm in solving optimization problems is analysed using the Optimization Algorithm Toollcit, with emphasis on determining the impact of parameter values. It is shown that these types of algorithms are particularly sensitive to the choice of parameters that affect the functioning of the algorithm.en
dc.publisherBudapest Tech, Budapest
dc.rightsrestrictedAccess
dc.sourceActa polytechnica hungarica
dc.subjectimmunological algorithmen
dc.subjectimplementationen
dc.subjectOptimization Algorithm Toollciten
dc.subjecttravelling salesman problemen
dc.subjectfunction optimization, parametersen
dc.titleImplementation of Immunological Algorithms in Solving Optimization Problemsen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractМаравић-Цисар, Сања; Маркоски, Бранко; Чисар, Петар;
dc.citation.volume11
dc.citation.issue4
dc.citation.spage225
dc.citation.epage239
dc.citation.other11(4): 225-239
dc.citation.rankM23
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_jakov_614
dc.identifier.scopus2-s2.0-84899675703
dc.identifier.wos000336555700015
dc.type.versionpublishedVersion


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