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适用于多峰函数优化问题的通用演化算法 被引量：7

A Generic Evolutionary Algorithm for Solving Multi-modal Function Optimization Problems
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摘要 本文在“两阶段子空间演化算法”的基础上加以改进 ,提出了一种解各种多峰函数优化问题的通用演化算法 ;并用五个复杂的函数进行了数值试验 。 In this paper,a generic evolutionary algorithm is proposed for multi-model function optimization based on the two-level subspace evolutionary algorithm that was designed by Li Yan et al.Furthermore,the new algorithm has been tested on five complicated problems and some good results are obtained.
作者 邹奇德 龚佳芬 王延
机构地区 湖北省五矿国际贸易股份有限公司 武汉大学数学与统计学院
出处 《计算机与数字工程》 2004年第2期81-84,共4页 Computer & Digital Engineering
关键词 多峰函数优化 两阶段子空间演化算法 数值试验 混和整数规划 约束函数 Evolutionary Algorithm(EA),Multi-modal,Function Optimization
分类号 TP301.6 [自动化与计算机技术—计算机系统结构]
  • 相关文献

参考文献6

  • 1潘正君 康立山 陈毓屏.演化计算[M].北京：清华大学出版社,2000..
  • 2LiYan, Kang Zhuo. Two - level Subspace Evolutionary Algorithm for Solving Multi- modal Function Optimization Problems[J]. Wuhan University Journal of Nature Science, Vol. 8, No. 1,2003.
  • 3GUO Tao, KANG Li shan State Key Laboratory of Software Engineering, Wuhan University,Wuhan 430072, China.A New Evolutionary Algorithm for Function Optimization[J].Wuhan University Journal of Natural Sciences,1999,4(4):409-414. 被引量：37
  • 4潘正君 康立山 陈屏.《演化计算》[M].清华大学出版社,2000..
  • 5LiYan, Kang Zhuo. Two - level Subspace Evolutionary Algorithm for Solving Multi - modal Function Optimization Problems[J]. Wuhan University Journal of Nature Science, Vol. 8, No. 1,2003
  • 6康卓,李艳,刘溥,康立山.一个通用的混合非线性规划问题的演化算法[J].计算机研究与发展,2002,39(11):1471-1477. 被引量：15

二级参考文献23

  • 1Z Michalewicz, N Attia. Evolutionary optimization of constrained problems. In: Proc of 3rd Annu Conf Evolutionary Programming. River Edge, NJ: World Scientific, 1994. 98～108
  • 2Z Michalewicz. Evolutionary operators for continuous convex parameters spaces. In: Proc of 3rd Annu Conf Evolutionary Programming. River Edge, NJ.. World Scientific, 1994. 84～97
  • 3Z Michalewicz. Genetic algorithms, numerical optimization,and constraints. In: Proc of 4th Annu Conf Evolutionary Programming. Cambridge, MA: MIT Press, 1995. 151～158
  • 4Z Michalewicz. Handling constraints in genetic algorithms. In:Proc of 4th Int'l Conf on Genetic Algorithms. Los Altos:MorganKaufmann, 1991. 151～157
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  • 6N Srinivas, K Deb. Multiobjective function optimization using nondominated sorting in genetic algorithms. Evolutionary Computation Journal, 1994, 2(3): 221～248
  • 7J Paredis. Co-evolutionary constraint satisfaction. In: Proc of 3rd Conf Parallel Problem Solving from Nature. River Edge,NJ: World Scientific, 1994. 46～55
  • 8R G Reynolds. An introduction to cultural algorithms. In:Proc of 3rd Annu Conf Evolutionary Programming. River Edge, NJ: World Scientific, 1994. 131～139
  • 9Z Michalewicz, G Nazhiyath. Genocop Ⅲ: A co-evolutionary algorithms for numerical optimization problems with nonlinear constraints. In: Proc of IEEE Int'l Conf on Evolutionary Programming. Perth: IEEE Press, 1995. 647～651
  • 10Guo Tao, Kang Lishan. A new evolutionary algorithm for function optimization. Wuhan University Journal of Nature Science, 1999, 4(4): 409～414

共引文献84

同被引文献37

引证文献7

二级引证文献22

计算机与数字工程
2004年 第2期

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