Combinatorial Auctions Knapsack Problems by Pfeiffer Jella (23 results)

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Published by VDM Verlag Dr. Mueller E.K. 12/20/2007, 2007
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Language: English
Published by VDM Verlag Dr. Mueller e.K. 2007-12-20, 2007
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Taschenbuch. Condition: Neu. Neuware - With the rapid diffusion of the internet, different kinds of market designs for e-commerce have emerged. Among these, combinatorial auctions (CAs) have gained increased interest as they permit bidders to express their valuations more easily. For applying a CA in real world scenarios, fast algorithms are needed to compute the optimal allocation of the offered goods. Although much research has dealt with this so-called Winner Determination Problem (WDP), only recently has its equivalence to the well-studied multi-dimensional knapsack problem (MDKP) been noticed. Therefore, there is a lack of research which compares approaches for solving MDKP and WDP problems. With this work, the author, Jella Pfeiffer, provides the missing integrative step, aiming at a more intense understanding and a mutual inspiration of both research areas. She examines structural differences of test instances from both domains, compares the performance of different algorithms, and alludes to a successful search behavior of non-exact but fast algorithms. The book addresses readers interested in electronic market design and algorithms solving complex combinatorial optimization problems.…

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. With the rapid diffusion of the internet, different kinds of market designs for e-commerce have emerged. Among these, combinatorial auctions (CAs) have gained increased interest as they permit bidders to express their valuations more easily. For applying a CA in real world scenarios, fast algorithms are needed to compute the optimal allocation of the offered goods. Although much research has dealt with this so-called Winner Determination Problem (WDP), only recently has its equivalence to the well-studied multi-dimensional knapsack problem (MDKP) been noticed. Therefore, there is a lack of research which compares approaches for solving MDKP and WDP problems. With this work, the author, Jella Pfeiffer, provides the missing integrative step, aiming at a more intense understanding and a mutual inspiration of both research areas. She examines structural differences of test instances from both domains, compares the performance of different algorithms, and alludes to a successful search behavior of non-exact but fast algorithms. The book addresses readers interested in electronic market design and algorithms solving complex combinatorial optimization problems. 128 pp. Englisch.…

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pfeiffer JellaDipl.-Wirtschaftsinformatikerin, studied Computer Science and Business Administration at the University of Mannheim. Currently, she works as PhD student at the University of Mainz for the Department of Information Syste.…

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. With the rapid diffusion of the internet, different kinds of market designs for e-commerce have emerged. Among these, combinatorial auctions (CAs) have gained increased interest as they permit bidders to express their valuations more easily. For applying a CA in real world scenarios, fast algorithms are needed to compute the optimal allocation of the offered goods. Although much research has dealt with this so-called Winner Determination Problem (WDP), only recently has its equivalence to the well-studied multi-dimensional knapsack problem (MDKP) been noticed. Therefore, there is a lack of research which compares approaches for solving MDKP and WDP problems. With this work, the author, Jella Pfeiffer, provides the missing integrative step, aiming at a more intense understanding and a mutual inspiration of both research areas. She examines structural differences of test instances from both domains, compares the performance of different algorithms, and alludes to a successful search behavior of non-exact but fast algorithms. The book addresses readers interested in electronic market design and algorithms solving complex combinatorial optimization problems.…

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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Revision with unchanged content. With the rapid diffusion of the internet, different kinds of market designs for e-commerce have emerged. Among these, combinatorial auctions (CAs) have gained increased interest as they permit bidders to express their valuations more easily. For applying a CA in real world scenarios, fast algorithms are needed to compute the optimal allocation of the offered goods. Although much research has dealt with this so-called Winner Determination Problem (WDP), only recently has its equivalence to the well-studied multi-dimensional knapsack problem (MDKP) been noticed. Therefore, there is a lack of research which compares approaches for solving MDKP and WDP problems. With this work, the author, Jella Pfeiffer, provides the missing integrative step, aiming at a more intense understanding and a mutual inspiration of both research areas. She examines structural differences of test instances from both domains, compares the performance of different algorithms, and alludes to a successful search behavior of non-exact but fast algorithms. The book addresses readers interested in electronic market design and algorithms solving complex combinatorial optimization problems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch.…

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Taschenbuch. Condition: Neu. Combinatorial Auctions and Knapsack Problems | An analysis of optimization methods | Jella Pfeiffer | Taschenbuch | 128 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639428711 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.…