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Combinatorial Auctions and Knapsack Problems - An Analysis of Optimization Methods

Jella Pfeiffer

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Paperback / softback
20 December 2007
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With the rapid diffusion of the internet, different kinds of market designs fore-commerce have emerged. Among these, combinatorial auctions (CAs) havegained increased interest as they permit bidders to express their valuationsmore easily. For applying a CA in real world scenarios, fast algorithms areneeded to compute the optimal allocation of the offered goods. Althoughmuch research has dealt with this so-called Winner Determination Problem(WDP), only recently has its equivalence to the well-studied multi-dimensionalknapsack problem (MDKP) been noticed. Therefore, there is a lack of researchwhich compares approaches for solving MDKP and WDP problems. With thiswork, the author, Jella Pfeiffer, provides the missing integrative step, aimingat a more intense understanding and a mutual inspiration of both researchareas. She examines structural differences of test instances from bothdomains, compares the performance of different algorithms, and alludes to asuccessful search behavior of non-exact but fast algorithms. The bookaddresses readers interested in electronic market design and algorithmssolving complex combinatorial optimization problems.

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RRP: $78.69
$63.00
Ships in 3-5 business days
Hurry up! Current stock:

Combinatorial Auctions and Knapsack Problems - An Analysis of Optimization Methods

RRP: $78.69
$63.00

Description

With the rapid diffusion of the internet, different kinds of market designs fore-commerce have emerged. Among these, combinatorial auctions (CAs) havegained increased interest as they permit bidders to express their valuationsmore easily. For applying a CA in real world scenarios, fast algorithms areneeded to compute the optimal allocation of the offered goods. Althoughmuch research has dealt with this so-called Winner Determination Problem(WDP), only recently has its equivalence to the well-studied multi-dimensionalknapsack problem (MDKP) been noticed. Therefore, there is a lack of researchwhich compares approaches for solving MDKP and WDP problems. With thiswork, the author, Jella Pfeiffer, provides the missing integrative step, aimingat a more intense understanding and a mutual inspiration of both researchareas. She examines structural differences of test instances from bothdomains, compares the performance of different algorithms, and alludes to asuccessful search behavior of non-exact but fast algorithms. The bookaddresses readers interested in electronic market design and algorithmssolving complex combinatorial optimization problems.

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