Buying and Selling Stocks of Multi Brands Using Genetic Network Programming with Control Nodes
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- Ohkawa Etsushi
- Graduate School of Information, Production and Systems, Waseda University
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- Chen Yan
- Graduate School of Information, Production and Systems, Waseda University
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- Bao Zhiguo
- Graduate School of Information, Production and Systems, Waseda University
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- Mabu Shingo
- Graduate School of Information, Production and Systems, Waseda University
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- Shimada Kaoru
- Information, Production and Systems Research Center, Waseda University
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- Hirasawa Kotaro
- Graduate School of Information, Production and Systems, Waseda University
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抄録
A new evolutionary method named “Genetic Network Programming with control nodes, GNPcn” has been applied to determine the timing of buying or selling stocks. GNPcn represents its solutions as directed graph structures which has some useful features inherently. For example, GNPcn has an implicit memory function which memorizes the past action sequences of agents and GNPcn can re-use nodes repeatedly in the network flow, so very compact graph structures can be made. GNPcn can determine the strategy of buying and selling stocks of multi issues. The effectiveness of the proposed method is confirmed by simulations.
収録刊行物
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- 電気学会論文誌C(電子・情報・システム部門誌)
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電気学会論文誌C(電子・情報・システム部門誌) 128 (12), 1811-1819, 2008
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390282679581110016
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- NII論文ID
- 10024501212
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 9731219
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
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- 使用不可