Applying Multi-Objective Evolutionary Computing to Auction Mechanism Design

Created by W.Langdon from gp-bibliography.bib Revision:1.8098

@TechReport{oai:CiteSeerPSU:554389,

• title = "Applying Multi-Objective Evolutionary Computing to Auction Mechanism Design",
• author = "Steve Phelps and Simon Parsons and Elizabeth Sklar and Peter McBurney",
• citeseer-isreferencedby = "oai:CiteSeerPSU:92933",
• citeseer-references = "oai:CiteSeerPSU:534053; oai:CiteSeerPSU:280312; oai:CiteSeerPSU:255684; oai:CiteSeerPSU:345471; \cite{oai:CiteSeerPSU:531021}; oai:CiteSeerPSU:342213",
• annote = "The Pennsylvania State University CiteSeer Archives",
• language = "en",
• oai = "oai:CiteSeerPSU:554389",
• rights = "unrestricted",
• institution = "Department of Computer Science, University of Liverpool",
• year = "2002",
• number = "ULCS-02-031",
• address = "UK",
• keywords = "genetic algorithms, genetic programming, auctions, evolutionary computation, mechanism design, multi-objective optimisation",
• URL = "http://www.csc.liv.ac.uk/research/techreports/tr2002/ulcs-02-031.pdf",
• URL = "http://citeseer.ist.psu.edu/554389.html",
• abstract = "The mechanism design problem in economics is about designing rules of interaction for market games which aim to yield a globally desirable result in the face of self-interested agents who may take advantage of the mechanism in order to maximise their own individual outcomes. This problem can be extremely complex. Traditionally, economists have used game theory and other formal methods to construct mechanism rules. In this paper, we report on an alternative approach which we hope will eventually yield more robust solutions than the present analytical counterparts. Our methodology views mechanism design as a multi-objective optimisation problem and addresses the problem using genetic programming. This paper reports on preliminary work in this direction where we evolve an auction pricing-rule for a continuous double auction using a multi-objective fitness function.",
• size = "6 pages",

}

Genetic Programming entries for Steve Phelps Simon Parsons Elizabeth Sklar Peter McBurney

Citations