Using genetic programming to optimise pricing rules for a double auction market

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{Phelps:2003:AEC,

• title = "Using genetic programming to optimise pricing rules for a double auction market",
• author = "Steve Phelps and Peter Mcburney and Elizabeth Sklar and Simon Parsons",
• year = "2003",
• keywords = "genetic algorithms, genetic programming",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• description = "genetic programming to optimise pricing rules for a",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.526.6836",
• rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.526.6836",
• URL = "http://spider.sci.brooklyn.cuny.edu/~parsons/projects/mech-design/publications/aec03.pdf",
• size = "8 pages",
• abstract = "The mechanism design problem in economics is about designing rules of interaction for market games so they yield a globally desirable result in the face of self-interested agents. This problem, which is of importance for ecommerce since much E-commerce is carried out through auctions, can be extremely complex. Traditionally, economists have tried using game theory and other formal methods to construct suitable mechanism rules. However, analytical methods typically oversimplify the problem and so the resulting rules are not necessarily robust. In this paper, we report on an alternative approach which we hope will eventually yield more robust solutions. Our methodology views mechanism design as a multi-objective optimisation problem and addresses the problem using genetic programming.",
• notes = "Proceedings of the workshop on Agents for Electronic Commerce, Pittsburgh, PA,, USA, 2003.",

}

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

Citations