Analysis of Price Changes in Artificial Double Auction Markets Consisting of Multi-Agents Using Genetic Programming for Learning and Its Applications

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{journals/ieicet/IkedaT07,
  author =       "Yoshikazu Ikeda and Shozo Tokinaga",
  title =        "Analysis of Price Changes in Artificial Double Auction
                 Markets Consisting of Multi-Agents Using Genetic
                 Programming for Learning and Its Applications",
  journal =      "IEICE Transactions on Fundamentals of Electronics,
                 Communications and Computer Sciences",
  year =         "2007",
  volume =       "90-A",
  number =       "10",
  pages =        "2203--2211",
  keywords =     "genetic algorithms, genetic programming, artificial
                 double auction market, multi-agents, electricity
                 market, control of chaos",
  ISSN =         "0916-8508",
  DOI =          "doi:10.1093/ietfec/e90-a.10.2203",
  abstract =     "In this paper, we show the analysis of price changes
                 in artificial double auction markets consisting of
                 multi-agents who learn from past experiences based on
                 the Genetic Programming (GP) and its applications. For
                 simplicity, we focus on the double auction in an
                 electricity market. Agents in the market are allowed to
                 buy or sell items (electricity) depending on the
                 prediction of situations. Each agent has a pool of
                 individuals (decision functions) represented in tree
                 structures to decide bid price by using the past result
                 of auctions. A fitness of each individual is defined by
                 using successful bids and a capacity usage of
                 production units for a production of items, and agents
                 improve their individuals based on the GP to get higher
                 return in coming auctions. In simulation studies,
                 changes of bid prices and returns of bidders are
                 discussed depending on demand curves of customers and
                 the weight between an average profit obtained by
                 successful bids and the capacity usage rate of
                 production units. The validation of simulation studies
                 is examined by comparing results with classical models
                 and price changes in real double auction markets. Since
                 bid prices bear relatively large changes, we apply an
                 approximate method for a control by forcing agents
                 stabilize the changes in bid prices. As a result, we
                 see the stabilization scheme of bid prices in double
                 auction markets is not realistic, then it is concluded
                 that the market contains substantial instability.",
  bibdate =      "2008-01-15",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/journals/ieicet/ieicet90a.html#IkedaT07",
}

Genetic Programming entries for Yoshikazu Ikeda Shozo Tokinaga

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