Evolutionary computation techniques for optimizing fuzzy cognitive maps in radiation therapy systems

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dc.contributor.authorParsopoulos, K. E.en
dc.contributor.authorPapageorgiou, E. I.en
dc.contributor.authorGroumpos, P. P.en
dc.contributor.authorVrahatis, M. N.en
dc.date.accessioned2015-11-24T17:00:50Z
dc.date.available2015-11-24T17:00:50Z
dc.identifier.issn0302-9743-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10824
dc.rightsDefault Licence-
dc.subjectparticle swarmen
dc.subjectoptimizationen
dc.subjectconvergenceen
dc.subjectalgorithmen
dc.titleEvolutionary computation techniques for optimizing fuzzy cognitive maps in radiation therapy systemsen
heal.abstractThe optimization of a Fuzzy Cognitive Map model for the supervision and monitoring of the radiotherapy process is proposed. This is performed through the minimization of the corresponding objective function by using the Particle Swarm Optimization and the Differential Evolution algorithms. The proposed approach determines the cause-effect relationships among the concepts of the supervisor-Fuzzy Cognitive Map by computing its optimal weight matrix, through extensive experiments. Results are reported and discussed.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.journalNameGenetic and Evolutionary Computation - Gecco 2004, Pt 1, Proceedingsen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2004-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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