カテゴリ: 論文誌(論文単位)グループ名: 【C】電子・情報・システム部門発行日: 2013/02/01タイトル(英語): A Genetic Network Programming-based Bidding Strategy with Adjusting Parameters for Large-scale Continuous Double Auction著者名: Chuan Yue (Graduate School of Information, Production and Systems, Waseda University), Shingo Mabu (Graduate School of Information, Production and Systems, Waseda University), Kotaro Hirasawa (Graduate School of Information, Production and Systems, Waseda著者名(英語): Chuan Yue (Graduate School of Information, Production and Systems, Waseda University), Shingo Mabu (Graduate School of Information, Production and Systems, Waseda University), Kotaro Hirasawa (Graduate School of Information, Production and Systems, Waseda University)キーワード: Genetic Network Programming,bidding strategy,continuous double auction,large-scale CDA要約(英語): Along with the explosive development of electronic commerce, trading goods online becomes much more popular and the trading volume over internet has been increased hugely. Concentrating particularly on continuous double auction (CDA), which is an efficient market mechanism, this paper studied and discussed a Genetic Network programming (GNP) based bidding strategy with adjusting parameters for autonomous software agents in agent-based large-scale CDAs (GNP-AP). GNP is one of the evolutionary computations, and the individuals with directed graph structures, represents the potential bidding strategies. Combined with the heuristic control rules, each individual can collect and judge the auction information, then choose the decision-making transition depending on the judgment results. The parameters for helping to select the right decision are adjusted during the evolution in order to get more profits for large-scale CDAs. In the experiments, we studied and discussed the performance of the proposed bidding strategies, and compared it with other classic bidding strategies and previous GNP-RN strategy in large-scale CDA under different settings.本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.133 No.2 (2013) 特集:省電力時代の電子回路技術本誌掲載ページ: 388-397 p原稿種別: 論文/英語電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/133/2/133_388/_article/-char/ja/