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Applying fuzzy particle swarm optimization to multi-unit double auctions / Calogero Vetro in International journal of management science and engineering management, Vol. 5 N° 3 (Juin 2010) 

Public ISBD [article]  in International journal of management science and engineering management > Vol. 5 N° 3 (Juin 2010) . - pp.175-181 Titre : Applying fuzzy particle swarm optimization to multi-unit double auctions Type de document : texte imprimé Auteurs : Calogero Vetro, Auteur ; Francesca Vetro, Auteur Année de publication : 2011 Article en page(s) : pp.175-181 Note générale : Management Langues : Anglais (eng) Mots-clés : Particle  swarm  optimization  Fuzzy  numbers  Mathematical  programming  Quadratic  assignment  problem Résumé : In the context of Quadratic Programming Problems, we use a fuzzy Particle Swarm Optimization (PSO) algorithm to analyze a Multi-unit Double Auction (MDA) market. We give also a Linear Programming (LP) based upper bound to help the decision maker in dealing with constraints in the mathematical model. In the computational study, we evaluate our algorithm and show that it is a feasible approach for processing bids and calculating assignments. DEWEY : 658 ISSN : 1750-9653 En ligne : http://www.ijmsem.org/OnlineJournal.do/?131.html [article] Applying fuzzy particle swarm optimization to multi-unit double auctions [texte imprimé] / Calogero Vetro, Auteur ; Francesca Vetro, Auteur . - 2011 . - pp.175-181. Management Langues : Anglais (eng) in International journal of management science and engineering management > Vol. 5 N° 3 (Juin 2010) . - pp.175-181 Mots-clés : Particle  swarm  optimization  Fuzzy  numbers  Mathematical  programming  Quadratic  assignment  problem Résumé : In the context of Quadratic Programming Problems, we use a fuzzy Particle Swarm Optimization (PSO) algorithm to analyze a Multi-unit Double Auction (MDA) market. We give also a Linear Programming (LP) based upper bound to help the decision maker in dealing with constraints in the mathematical model. In the computational study, we evaluate our algorithm and show that it is a feasible approach for processing bids and calculating assignments. DEWEY : 658 ISSN : 1750-9653 En ligne : http://www.ijmsem.org/OnlineJournal.do/?131.html