期刊文献+

基于精确目标罚参数的遗传算法 被引量:2

Genetic Algorithm Based on Objective Parameter of Exact Penlty Function
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摘要 结合一种精确目标罚函数和遗传算法,提出新的算法;算法能将约束优化问题转化为无约束优化问题,同时具有遗传算法的全局搜索能力,避免陷入局部收敛;给出并讨论了精确罚定理,实验结果表明了算法的有效性. In this paper,we proposed a new method which is based on the exact penalty function method and genetic algorithm. The method having the global search ability of genetic algorithm which avoids the local optimal solution can transform constrained optimization problems into unconstrained optimization problems. The exact penalty theorem is given and discussed. Numerical experiments show that the proposed method is effective.
出处 《重庆工商大学学报(自然科学版)》 2016年第2期30-33,共4页 Journal of Chongqing Technology and Business University:Natural Science Edition
基金 重庆人文科技学院教改项目(15CRKXJ05)
关键词 目标罚参数 精确罚函数 遗传算法 扰动 objective penalty parameter exact penalty function genetic algorithm disturbance
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参考文献7

  • 1MORRISON D D.Optimization by Least Aquares [ J ]. SIAM J Numer, Anal, 1968 (5) : 83-88.
  • 2FLETCHER, R. Practical Method of Optimization. Wiley- Interscience [ M ]. New York : 1981.
  • 3FLETCHER R.Penalty functions [ M ]. Berlin: MathematicalProgramming, 1983.
  • 4WILLARD I, ZANGWIL L. Nonlinear Programming Via Penalty Function [ J ]. Management Science, 1967 ( 5 ) : 344-358.
  • 5曾刘拴.解无约束优化的非单调自适应信赖域算法[J].重庆工商大学学报(自然科学版),2013,30(11):55-61. 被引量:1
  • 6MENG Z Q, DANG C Y,JIANG M.Exactness and Algorithm of An Objective Penalty Function [ J ]. Journal of Global Optimization,2012 ( 11 ) : 1011-1015.
  • 7刘树人,孟志青.基于双参数罚函数求解约束优化问题的一个新算法[J].应用数学,2009,22(2):346-351. 被引量:4

二级参考文献23

  • 1刘树人,孟志青.双参数精确罚函数求解约束优化问题的拟牛顿算法[J].系统工程,2005,23(10):68-72. 被引量:6
  • 2Rosenberg E. Globally convergent algorithm for co,vex programming[J]. Mathmatics of Operations Research, 1981,6(3) :437-452.
  • 3Pinar M C,Zenios S A. On smoothing exact penalty functions for convex constrained optimization[J].SIAM Journal on Optimization, 1994,4:486-511.
  • 4Mongeau M,Sartenaer A. Automatic decrease of the penalty parameter in exact penalty functions methods[J]. European Journal of Operational Research, 1995,83 : 686-699.
  • 5Rubinov A M,Glover B M. Extened Lagrange and penalty functions in continuous optimization[J]. Optimization, 1999,46(3) : 327-351.
  • 6Rubinov A M, Glover B M. Decreasing functions with applications to penalization[J]. SIAM Journal on Optimization, 1999,10(1) :289-313.
  • 7Yang X Q, Huang X X. A nonlinear Lagrange approach to constrained optimization problems[J]. SIAM Journal on optimization, 2001,11 (4):1119-1141.
  • 8孟志青.精确罚函数与交叉规划问题的研究[D].西安:西安电子科技大学,2003.
  • 9POWELL M J D. Convergence properties of a class of minimization algorithm [ C]//Nonlinear Programming II, New York, Academic Press, 1975 : 1-27.
  • 10CONN A R, GOULD N I M ,TOINT Ph L. Trust-Region Methods[ M ] .SIAM Publications,2000.

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