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  3. Combinatorial Auctions and Knapsack Problems - An Analysis of Optimization Methods

Combinatorial Auctions and Knapsack Problems - An Analysis of Optimization Methods

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Combinatorial Auctions and Knapsack Problems - An Analysis of Optimization Methods
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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.

Informacija

Autorius: Jella Pfeiffer
Leidėjas: VDM Verlag Dr. Mueller e.K.
Išleidimo metai: 2007
Knygos puslapių skaičius: 128
ISBN-13: 9783836450065
Formatas: 6.69 x 0.27 x 9.61 inches. Knyga minkštu viršeliu
Kalba: Anglų

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