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A posteriori και a priori εφαρμογή των τεχνικών λήψης απόφασης TOPSIS και ELECTRE I σε προβλήματα πολυκριτηριακής βελτιστοποίησης με εξελικτικούς αλγορίθμους

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dc.contributor.author Βουγιουκαλάκη, Μυρτώ el
dc.contributor.author Vougioukalaki, Myrto en
dc.date.accessioned 2019-03-07T10:46:32Z
dc.date.available 2019-03-07T10:46:32Z
dc.date.issued 2019-03-07
dc.identifier.uri http://dspace.lib.ntua.gr/xmlui/handle/123456789/48391
dc.identifier.uri http://dx.doi.org/10.26240/heal.ntua.16340
dc.rights Default License
dc.subject Βελτιστοποίηση el
dc.subject MCDM en
dc.subject TOPSIS en
dc.subject ELECTRE I en
dc.subject Εξελικτικός αλγόριθμος el
dc.title A posteriori και a priori εφαρμογή των τεχνικών λήψης απόφασης TOPSIS και ELECTRE I σε προβλήματα πολυκριτηριακής βελτιστοποίησης με εξελικτικούς αλγορίθμους el
dc.title A posteriori and a priori implementation of the multicriteria decision making techniques TOPSIS and ELECTRE I in evolutionary algorithm based optimization en
heal.type bachelorThesis
heal.classification Βελτιστοποίηση el
heal.language el
heal.language en
heal.access free
heal.recordProvider ntua el
heal.publicationDate 2018-10-10
heal.abstract Η διπλωματική εργασία αφορά τεχνικές που σχετίζονται με διαδικασίες λήψης αποφάσεων σε προβλήματα πολυκριτηριακής βελτιστοποίησης , MCDM (Muliple Criteria Decision Making) el
heal.abstract This diploma thesis is concerned with techniques related to decision making processes in multiobjective optimization problems, MCDM (Multiple Criteria Decision Making). Two MCDM techniques, TOPSIS (Technique for the Order of Preference by Similarity to the Ideal Solution) and ELECTRE I (ELimination Et Choix Traduisant la REalit´e I) are presented, programmed and applied to multiobjective optimization problems. These problems are solved using evolutionary algorithms (EA) as the basic technique of tracking down optimal solutions. Both techniques incorporate the preferences of the decision maker concerning the objective functions as weights and are applied to optimization problems in retrospect, ‘‘a posteriori’’, and in advance, ‘‘a priori’’. In the first case, both MCDM techniques are applied to the solutions of the Pareto front of an optimization problem and one optimal solution is selected. In the second case, both techniques are applied to the solutions of each generation of the EA and an appropriately oriented Pareto front is determined. The optimization prolems are solved using the software called EASY (Evolutionary Algorithm SYstem). Initially, both techniques TOPSIS and ELECTRE I are applied to mathematical minimization problems and subsequently in aerodynamic optimization problems. The three aerodynamic problems which are solved are the shape optimization of an isolated transonic airfoil, the shape optimization of a stator blade of a compressor and the shape optimization of the isolated transonic wing ONERA M6. The coherence between the results of these techniques and the preferences of the desicion maker are examined. en
heal.advisorName Γιαννάκογλου, Κυριάκος el
heal.committeeMemberName Αρετάκης, Νικόλαος el
heal.committeeMemberName Μαθιουδάκης, Κωνσταντίνος el
heal.academicPublisher Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Μηχανολόγων Μηχανικών. Τομέας Ρευστών. Εργαστήριο Θερμικών Στροβιλομηχανών el
heal.academicPublisherID ntua
heal.numberOfPages 116 σ.
heal.fullTextAvailability true


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