期刊文献+

非线性约束规划的极大熵多目标进化算法 被引量:2

Maximum entropy multi-objective evolutionary algorithm for nonlinear constrained programming
下载PDF
导出
摘要 解非线性约束规划的困难在于如何处理问题的约束,从问题的约束条件出发构造了一个新的极大熵函数,利用此函数将原非线性约束规划问题转化成了两个目标的多目标优化问题。通过对搜索操作和参数的合理设计给出了一种新的极大熵多目标进化算法。计算机仿真表明该算法对带约束的非线性优化问题求解是非常有效的。 The difficult to solve the Nonlinear Constraint Programming problems (NCPs) is how to do with the constraint.In this paper,a new maximum entropy function based on the constraint conditions of NCPs is given.Then using the new maximum entropy function,the nonlinear constrained programming problems is transformed into a bi-objective optimization problem.By combining the reasonable design of the searching operation and different parameters,a new maximum entropy evolutionary algorithm is finally proposed.The computer simulations demonstrate the effectiveness of the proposed algorithm.
作者 刘淳安
出处 《计算机工程与应用》 CSCD 北大核心 2007年第21期40-42,共3页 Computer Engineering and Applications
基金 国家自然科学基金资助项目(the National Natural Science Foundation of China under Grant No.60374063) 陕西省自然科学基础研究计划项目(the Natural Science Foundation of Shaanxi Province of China under Grant No.2006A12) 陕西省教育厅科学技术研究计划项目(No.07JK180) 宝鸡文理学院重点科研项目(No.ZK0619)。
关键词 非线性规划 约束规划 进化算法 极大熵 nonlinear programming constrained programming evolutionary algorithm maximum entropy
  • 相关文献

参考文献6

  • 1Deb K,Agrawal S.A niched-penalty approach for constraint handing in genetic algorithms[C]//Proc of the Inter Conf in Protozoa Slovenia,Artificial Neural Nets and Genetic Algorithms.New York:Springer Verlag,1999:235-243.
  • 2Runarsson T P,Yao X.Stochastic ranking for constrained evolutionary optimization[J].IEEE Trans on Evolutionary Computation,2000,4(3):284-294.
  • 3Michalewicz Z,Schoenauer M.Evolutionary algorithms for constraint parameter optimization problems[J].Evolutionary Computation,1996,4(1):1-32.
  • 4Leung Yiu-Wing,Wang Yu-ping.An orthogonal genetic algorithm with quantization for global numerical optimization[J].IEEE Trans on Evolutionary Computation,2001,5(1):41-53.
  • 5Meeura-Montes E,Coello Coello C A.A simple multimembered evolution strategy to solve constrained optimization problems[J].IEEE Trans on Evolutionary Computation,2005,9(1):1-17.
  • 6Sangameswar Venkatraman,Gary G.A generic framework for constrained optimization using genetic algorithms[J].IEEE Transaction on Evolutionary Computation,2005,9(4):423-435.

同被引文献15

  • 1何大义,邱菀华.纳什均衡策略的极大熵估计方法[J].北京航空航天大学学报(社会科学版),2004,17(4):49-53. 被引量:4
  • 2姜殿玉,张盛开,丁德文.极大熵准则下n人非合作条件博弈的期望Nash均衡[J].系统工程,2005,23(11):108-111. 被引量:6
  • 3吴亮红,王耀南,陈正龙.求解混合整数非线性规划问题的改进差分进化算法[J].小型微型计算机系统,2007,28(4):666-669. 被引量:26
  • 4H·克雷格·彼得森 W·克里斯·刘易斯.管理经济学[M].北京:中国人民大学出版社,1998..
  • 5BAZARA M S,SHERALI H D,SHETTY C M.Nonlinear programming theory and algorithms[M].New York:John Wiley & Sons,1979.
  • 6TANG J F,WANG D W,IP A,et al.A hybrid genetic algorithm for type of nonlinear programming problems[J].Computers & Mathematics with Applications,1998,36(5):11 -21.
  • 7TILLMAN M E.An algorithm for the near-optimization of tactical force ratios in the defense[D].Master' s Thesis:Colorado School of Mines Golden,1991.
  • 8TILLMAN M E.Optimizing rorce ratios to develop a course of action for the G3 (operations officer)[J].Mathematical and Computer Modeling,1996,23 (1-2):55 -63.
  • 9YAGER R R.Measures of entropy and fuzziness related to aggregation operators[J].Information Sciences,1995,82(3 -4):147-166.
  • 10CHENG Ching-Hsue.Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function[J],European Journal of Operational Research,1997,96(2):343 -350.

引证文献2

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部