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Using Genetic Algorithms to Enable Automated Auctions

  • E. Wolff
  • M. T. Tu
  • W. Lamersdorf
Conference paper
  • 615 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1875)

Abstract

In this paper, an approach to implement automated auctions as a negotiation mechanism for Business-to-Business electronic commerce applications is presented. It is based on Genetic Algorithms (GAs) that evolve FSMs (Finite State Machines). Each of these FSMs represents an auction strategy that competes on the market and is modified over time according to the outcome of this competition by using GA principles. The paper gives an overview of auctions, especially in the Business-to-Business domain, and other work related to this paper. Then, the application of Genetic Algorithms to automate auctions is presented and relevant details on the prototype implementation are given. In addition, some key results obtained from experiments using this implementation are discussed.

Keywords

auctions genetic algorithms negotiation strategies E-Commerce 

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • E. Wolff
    • 1
  • M. T. Tu
    • 1
  • W. Lamersdorf
    • 1
  1. 1.Distributed Systems Group, Computer Science DepartmentUniversity of Hamburg GermanyHamburgGermany

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