An Evolutionary Approach to Finding Bidding Strategies in a Combinatorial Auction
| dc.contributor.advisor | Dr. Michael Young, Committee Member | en_US |
| dc.contributor.advisor | Dr. Peter Wurman, Committee Chair | en_US |
| dc.contributor.advisor | Dr. Jon Doyle, Committee Member | en_US |
| dc.contributor.author | Phadke, Priti | en_US |
| dc.date.accessioned | 2010-04-02T18:09:11Z | |
| dc.date.available | 2010-04-02T18:09:11Z | |
| dc.date.issued | 2002-07-15 | en_US |
| dc.degree.discipline | Computer Science | en_US |
| dc.degree.level | thesis | en_US |
| dc.degree.name | MS | en_US |
| dc.description.abstract | Auctions involve trading of variety of different items. Auctions that allow agents to bid for combinations of items are called Combinatorial Auctions (CAs). The Ascending k-Bundle Auction(AkBA) is a combinatorial auction founded on a notion of bundle price equilibrium. The purpose of this research is to explore the strategy space and help agents evolve strategies for a Proxy version of A1BA(P-AkBA). We use a Genetic algorithm to search the space of strategies. Several experiments were performed for different categories of problems and the resultsshow that the approach yields good solutions. We compare the outcomes of the evolved solutions with the outcomes that result from truthful bidding, and compare prices against those generated in the sealed-bid version of k-bundle auction and the standard GVA payments. We also make several observations about the effect of genetic parameters on the performance of search. | en_US |
| dc.identifier.other | etd-07012002-145638 | en_US |
| dc.identifier.uri | http://www.lib.ncsu.edu/resolver/1840.16/1960 | |
| dc.rights | I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. | en_US |
| dc.subject | AkBA | en_US |
| dc.subject | Genetic Algorithm | en_US |
| dc.subject | Combinatorial Auctions | en_US |
| dc.subject | Bidding Strategies | en_US |
| dc.title | An Evolutionary Approach to Finding Bidding Strategies in a Combinatorial Auction | en_US |
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