Discovering near-optimal pricing strategies for the deregulated electric power marketplace using genetic algorithms

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Wharton School, University of Pennsylvania, Philadelphia, PA 19104, United States [1 ]
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Decis Support Syst | / 1卷 / 25-45期
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The author is grateful for the insightful guidance of Paul Kleindorfer for this research. Penalty function methods GAs were implemented using Steven Kimbrough's gavbstub . GA-1 was developed using Zbigniew Michalewize's genocop . I thank the owners for sharing the source code. Helpful comments from James Laing; Steve Kimbrough; Ronald Lee; participants in the formal aspects of the electronic commerce session of HICSS-32; and three anonymous referees are greatly appreciated. Thanks to Marge Weiler for proofreading this paper. However; all errors remain with the author. This paper was based on Chapter 4 of the author's dissertation [44] . The dissertation was nominated for the best PhD dissertation for the 1998 Elwood Buffa National Dissertation Award Competition in the 1998 National Decision Science Institute (DSI) meeting in November; 1998; in Las Vegas. An earlier and much abbreviated version of this paper [46] appeared in the Proceedings of the 32nd Annual Hawaii International Conference on System Sciences (HICSS-32) in January; 1999; Hawaii. This work was made possible by research grants from SAP America; Andersen Consulting; and an equipment grant from Hewlett-Packard;
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