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一种嵌入式的协同进化模型 被引量：1

An Embeddable Coevolutionary Model
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摘要 为了提高遗传算法的性能,论文提出了一个能够体现生态进化中各种协同进化关系的协同进化模型,该模型能很容易地嵌入到遗传算法中。计算机模拟实验表明该模型的嵌入能在一定的程度解决遗传算法中的早熟现象,加快后期的收敛速度,提高遗传算法的自适应能力。 In order to improve the performance of Genetic Algorithms(GAs),this paper describes an Embeddable Coevolutionary Model(ECM),which covers all the coevolutionary relations studied in ecology and can be embedded easily in GAs.Experiments on a difficulty problem support our assumption that the embedding of the ECM in GAs can improve the adaptive capacity and performance of GAs.
作者 李碧 雍正正 周安宁
机构地区 广东外语外贸大学教务处 深圳大学信息工程学院 广东外语外贸大学信息科学技术学院
出处 《计算机工程与应用》 CSCD 北大核心 2005年第9期62-63,228,共3页 Computer Engineering and Applications
关键词 协同进化 遗传算法 嵌入式 coevolution,Genetic Algorithms,embeddable
分类号 TP301 [自动化与计算机技术—计算机系统结构]
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参考文献9

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共引文献10

同被引文献26

  • 1Arifovic J, Gencay R. Using Genetic Algorithms to Select Architecture of a Feedforward Artificial Neural Network. Physica A, 2001, 289(3): 574-594.
  • 2Boozarjomehry R B, Svrcek W Y. Automatic Design of Neural Network Structures. Computers and Chemical Engineering, 2001, 25(7): 1075-1088.
  • 3Blanco A, Delgado M, Pegalajar M C. A Real-Coded Genetic Algorithm for Training Recurrent Neural Networks. Neural Networks, 2001, 14(1): 93-105.
  • 4Morrison J, Oppacher F. A General Model of Co-Evolution for Genetic Algorithms Proc of the 4th International Conference on Artificial Neural Networks and Genetic Algorithms. Porto roz, Slovenia, 1999:262-268.
  • 5Iorio A, Li Xiaodong. Parameter Control within a Co-Operative Co-Evolutionary Genetic Algorithm Proe of tile 7th International Conference on Parallel Problem Solving from Nature. Granada, Spain, 2002; 247-256.
  • 6Eriksson R, Olsson B. Cooperative Coevolution in Inventory Control Optimization Proc of the 3rd International Conference on Artificial Neural Networks and Genetic Algorithms. Norwich, UK, 1997:583-587.
  • 7Potter M A, de Jong K A. The Coevolution of Antibodies for Concept Learning Proc of the 5th International Conference on Parallel Problem Solving from Nature. Amsterdam, Netherlands. 1998:530-539.
  • 8Potter M A, de Jong K A. Cooperative Coevolution: An Architecture for Evolving Coadapted Subeomponents. Evolutionary Computation, 2000, 8(1): 1-29.
  • 9Garcia-Pedrajas N, Hervds-Martinez C, Ortiz-Boyer D. Coop erative Coevolution of Artificial Neural Network Ensembles for Pattern Classification. IEEE Trans on Evolutionary Computation, 2005, 9(3):271-302.
  • 10Mitchell T M. Machine Learning. New York, USA; McGraw-Hill, 1997.

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计算机工程与应用
2005年 第9期

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