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解非线性约束规划问题的新粒子群优化算法 被引量：4

New Particle Swarm Optimization Algorithm for the Solution to Nonlinear Constrained Programming Problem
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摘要 给出非线性约束规划问题的一种新解法.首先把带约束的非线性规划问题转化成为2个目标的优化问题,在对搜索算子及各种参数进行合理设计的同时,提出了一种新粒子群优化算法(TS-MC),最后的数据实验表明该算法对带约束的非线性规划问题求解是非常有效的. A new approach is presented to solve the nonlinear constrained optimization problems. Firstly, a constrained optimization problem is transfonned into a bi-objective optimization problem. Based on the reasonable design of the searching operation and different parameters, a new particle swarm optimization algorithm （TS-MC） is finally proposed. The numerical experiment shows that the algorithm is effective in dealing with the nonlinear constrained optimization problems.
作者 刘淳安
机构地区 宝鸡文理学院数学系
出处 《重庆工学院学报》 2006年第11期118-120,共3页 Journal of Chongqing Institute of Technology
基金 陕西省自然科学基础研究计划项目(2006A12) 宝鸡文理学院重点科研计划项目(ZK2548) 宝鸡文理学院院级科研计划项目(JK2517)
关键词 非线性规划 约束规划 粒子群优化 nonlinear programming constraint programming particle swarm optimization
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
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参考文献8

  • 1Deb K,Agrawal S A.Niched-penalty approach for constraint handing in genetic algorithms:Artificial neural nets and genetic algorithms,Proc.of the inter.Conf.In Portoroz Slovenia[C].New York:SpringerVerlagWien,1999:235-243.
  • 2Deb K.An efficient constraint handing method for genetic algorithms[J].Comput Methods ApplMech Eng,2000,18(6):311-338.
  • 3Aguirre A H,Rionda S B,Salvador,et al.Use of multi-objective optimization concepts to handle constraints in single-objective optimization:Genetic and Evolutionary Computation Conference[C].Chicago:IL,USA,2003:573-584.
  • 4Wang Yu-ping,Liu Da-lian,Cheng Yiu-Ming.Preference bi-objective evolutionary algorithm for constrained optimization:Proceedings of 2005 International Conference on Computational Intelligence and Security,Part I[C].Berlin:Springer Verlag,2005:184-191.
  • 5Kennedy J,Eberhart R.Particle swarm optimization:IEEE Int'1 Conf on Neural Networks[C].Perth,Australia:[s.n.],1995.
  • 6Farmani R,Wright J.Self-adaptive fitness formulation for constrained optimization[J].IEEE Trans.Evol.Comput,2003,7(5):445-455.
  • 7刘淳安,陈一虎.基于带变异算子的粒子群优化算法[J].重庆工学院学报,2005,19(8):38-40. 被引量：4
  • 8Parsopoulos K E,Vrahatis M N.Particle swarm optimization method for constrained optimization problems:Proceedings of the 5th conference on parallel problems solving from nature[C].Berlin:Springer Verlag,1999:254-259.

二级参考文献5

  • 1刘淳安,杨建宏.基于实数编码的多种群演化遗传算法[J].宝鸡文理学院学报（自然科学版）,2005,25(2):85-87. 被引量：2
  • 2曾建湖 介婧 崔志华.微粒群算法[M].北京:科学出版社,2004.87-95.
  • 3Kennedy J, Eberhart R. Particle Swarm Optimization [ A ]. IEEE Iht' 1 Conf on Neural Networks [ C ]. Perth:[ s. n] ,1995.
  • 4Shi Y, Eberhart R C. Particle Swarm Optimization: Developments, Applications and Resource[ A]. In: Proc.Congress on Evolutionary Computation[ C ]. NJ: Piscataway Press, 2001.81 - 86.
  • 5吕振肃,侯志荣.自适应变异的粒子群优化算法[J].电子学报,2004,32(3):416-420. 被引量：450

共引文献3

同被引文献44

  • 1郭兴众,马健.一类二层多目标规划的混沌遗传优化算法及其应用[J].北京科技大学学报,2006,28(7):696-699. 被引量：2
  • 2郝智爽,彭亚霖,刘焕章.非线性规划在坦克武器系统火力分配中的应用[J].电光与控制,2006,13(6):101-103. 被引量：4
  • 3叶海燕,陈毓灵,高鹰.分组粒子群优化算法[J].广州大学学报（自然科学版）,2007,6(2):64-67. 被引量：7
  • 4Powell D, Skolnick M. Using genetic algorithms in engineering design optimization with non-linear constraints [C]//Proceedings of Fifth International Conference on Genetic Algorithms. San Francisco, CA, USA: Morgan Kaufmann Publishers, 1993:424-431.
  • 5Michalewicz Z. Evolutionary computation techniques for nonlinear progranuning problems [J]. International Transactions in Operational Research. 1994, 1(2):240.
  • 6Schnecke V, Vomberger O. Hybrid genetic algorithms for constrined placement problems [J]. IEEE Trans-aetions on Ebolutionary Computation, 1997, 1(4):277.
  • 7Kennedy J, Eberhart R. Particle swarm optimization [C]. presented at Proceedings of IEEE International Conference on neural networks, Perth, Australia, 1995.
  • 8Kennedy J, Eberhart R, Shi Y. Swarm interlligence [M]. San Francisco, CA,USA: Morgan Kaufmann Publishers, 2001: 287-300.
  • 9Coath G, Halgamuge S. A comparison of comtraint-handling methods for the application of particle swarm optimization to constrained nonlinear optimization problems[C].Proceedings of 2003 Congress on Evolutionary Computation. Piscataway, NJ:IEEE Service Center, 2003:2419-2425.
  • 10Hu X, Eberhart R. Solbing constrained nonlinear optimization problems with particle swarm optimization[C].Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics. OrLando, USA: 2002:884-889.

引证文献4

二级引证文献7

重庆工学院学报
2006年 第11期

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