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新的进化算法——文化算法 被引量：15

A New Evolution Algorithm——Cultural Algorithm
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摘要 文化算法源于对人类社会多层面进化的模拟,为进化算法提供了一个新的计算框架。和其他进化算法相比,文化算法概念清晰,更能准确地反映社会的进化过程,并在一些领域取得了成功的应用。本文首先讲述了该算法的生物解释,然后介绍了算法的基本原理和不同版本,并给出了一些成功应用的实例,最后给出了本文的结论和进一步的研究方向。 A Cultural Algorithm （CA）, rooting from simulation of evolution of human being society, provides a new computable framework of Evolution Algorithms. Concept of CA is more easily understood and more accuracily to reflect evolution process of society than some other optimization algorithms. CA has been successfully applied to much engineering. Firstly, this paper depicts natural explanation about CA. Secondly, introduces its basic theory and several development versions of CA, and presents some applications of CA. At last, a brief conclusion and further research direction is given.
作者 杜琼 周一届
机构地区 江南大学
出处 《计算机科学》 CSCD 北大核心 2005年第9期142-144,共3页 Computer Science
关键词 进化算法 文化算法 知识表达 速度进化 群体空间 Evolution algorithm, Cultural algorithm, Knowledge expression
分类号 TP301.6 [自动化与计算机技术—计算机系统结构]
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参考文献14

  • 1Robert R G. An Introduction to Cultural Algorithms. In: Proc. of the 3th annual Conf. on Evolution Programming, Sebalk, A. V. Fogel L. J., River Edge, NJ. World Scientific Publishing, 1994. 131～136
  • 2Durham W. Co-Evolution: Genes, Culture and Human Diversity. Stanford University Press, Stanford, CA, 1994
  • 3Renfrew A C. Dynamic Modeling in Archaeology: What, When, and Where?, Dynamical Modeling and the Study of Chang in Archaeology. In: S. E. van der Leeuw, ed. Edinburgh University Press, 1994
  • 4Reynolds R G, Zhu Shinin. Knowledge-Based Function Optimization Using Fuzzy Cultural Algoritms with Evolutionary Programming. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2001,31 (1): 1 ～ 18
  • 5Carlos C A,Ricardo L B. Constrained Optimization using an Evolutionary Programming-Based Cultural Algorithm. In: en Ian C. Parmee,ed. Adaptive Computing in Design and Manufacture V, Springer, London,April 2002. 317～328
  • 6Chung C-J. Knowledge-Based Approaches to Self-Adaptation in Cultural Algorithms: [PhD thesis]. Wayne State University, Detroit, Michigan, 1997
  • 7Chung C-J, Reynolds R G. A Testbed for Solving Optimization Problems using Cultural Algorithms. In: Larence J. Fogel, Peter J. Angeline and Thomas Back, eds. Evolutionary Programming V: Proc. of the Fifth Annual COnf. on Evolutionary Programming, Cambridge, Massachusetts,MIT Press,1996
  • 8Jin X, Reynolds R G. Using Knowledge-Based Evolutionary Computation to Solve Nonlinear Constraint Optimization Problems: a Cultural Algorithm Approach. In 1999 Congress on Evolutionary Computation,Washington, D. C. , IEEE Service Center, 1999.1672～1678
  • 9Michalewicz Z,Schoenauer M. Evolutionary Algorithms for Constrained Parameter Optimization Problems. Evolutionary Compu tation, 1996,4(1): 1～32
  • 10Koziel S, Michalewicz Z. Evolutionary Algorithms, Homomorphous Mappings, and Constrained Parameter Optimization. Evolutionary Computation, 1999,7 ( 1 ): 19～ 44

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计算机科学
2005年 第9期

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