Research on the combination of Genetic Network Programming and Genetic Relation Programming

遗传网络规划与遗传关系规划结合的研究

• 批准号: 20360179
• 负责人: HIRASAWA Kotaro
• 金额: $ 11.81万
• 依托单位: Waseda University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 2008
• 资助国家: 日本
• 起止时间: 2008 至 2011
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20360179/
• 关键词: 進化論的計算手法; 遺伝的アルゴリズム; 遺伝的プログラミング; データマイニング; 相関ルール; システム情報(知識)処理; 達伝的アルゴリズム

Genetic Network Programming(GNP) which is an evolutionary computation with directed graph structures can extract a large number of association rules from huge databases. In addition, Genetic Relation Algorithm(GRA) can select much more important rules from the extracted rules. In the research on the combinations of GNP and GRA, the basic algorithms, the extended algorithms and their applications were studied, and the distinguished abilities have been confirmed.

遗传网络编程（GNP）是具有有向图结构的进化计算，可以从巨大的数据库中提取大量关联规则。此外，遗传关系算法（GRA）可以从提取的规则中选择更重要的规则。在GNP和GRA组合的研究中，基本算法，扩展算法及其应用，并已确认了出色的能力。

项目成果

Discovering fuzzy classification rules using Genetic Network Programming

• DOI: 10.1109/sice.2008.4654954
• 发表时间: 2008-10
• 期刊: 2008 SICE Annual Conference
• 作者: K. Taboada;E. Gonzales;K. Shimada;S. Mabu;K. Hirasawa

Genetic Network Programming with Rules

用规则进行遗传网络编程

• 发表时间: 2009
• 期刊: Journal of Advanced Computational Intelligence and Intelligent Informatics Vol.13, No.1
• 作者: F.Ye;L.Yu;S.Mabu;K.Shimada;K.Hirasawa
• 通讯作者: K.Hirasawa

Trading rules on stock markets using genetic network programming with sarsa learning

• DOI: 10.1145/1276958.1277232
• 发表时间: 2007-07
• 期刊: J. Adv. Comput. Intell. Intell. Informatics
• 作者: Yan Chen;S. Mabu;K. Shimada;K. Hirasawa

Combination of Two Evolutionary Methods for Mining Association Rules in Large and Dense databases

两种进化方法相结合在大密集数据库中挖掘关联规则

• 发表时间: 2009
• 期刊: Journal of Advanced Computational Intelligence and Intelligent Informatics
• 影响因子: 0.7
• 作者: E. Gonzales;K. Taboada;S. Mabu;K. Shimada;K. Hirasawa
• 通讯作者: K. Hirasawa

Analysis of Various Interestingness Measures in Class Association Rule Mining

• DOI: 10.9746/jcmsi.4.295
• 发表时间: 2011-07
• 期刊: SICE journal of control, measurement, and system integration
• 作者: Xianneng Li;S. Mabu;Huiyu Zhou;K. Shimada;K. Hirasawa