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Evolution of realistic hybrid auctions

Qin Zengchang, T Kovacs

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    Abstract

    Auctions are an important class of mechanisms for resolving multi-agent allocation problems. A genetic algorithm (GA) can be used to design auction mechanisms in order to automatically generate a desired market mechanism in an agent based E-market. One study found a new hybrid market mechanism never before found in the real-world which has very desirable market dynamics according to a measure based on Smith's coefficient of convergence. However, the auction space used in that study did not contain realistic single sided auctions. In this paper, a more realistic auction space is proposed and explored by a simple GA. The hybrid market mechanism can still be found which shows the hybrid market mechanism is not an artifact of an unfaithful auction space used in previous experiments.
    Translated title of the contributionEvolution of realistic hybrid auctions
    Original languageEnglish
    Title of host publicationUnknown
    Pages43 - 50
    Number of pages7
    Publication statusPublished - Sept 2004

    Bibliographical note

    Conference Proceedings/Title of Journal: Proceedings of the 2004 UK Workshop on Computational Intelligence (UKCI-04)

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