| 解非线性约束规划问题的新粒子群优化算法 |
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| 引用本文： | 刘淳安. 解非线性约束规划问题的新粒子群优化算法[J]. 重庆理工大学学报(自然科学版), 2006, 20(11): 118-120 |
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| 作者姓名： | 刘淳安 |
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| 作者单位： | 宝鸡文理学院数学系 陕西宝鸡721007 |
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| 基金项目： | 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）. |
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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.
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| 关 键 词： | 非线性规划 约束规划 粒子群优化 |
| 文章编号： | 1671-0924（2006）11-0118-03 |
| 收稿时间： | 2006-09-16 |
| 修稿时间： | 2006-09-16 |
New Particle Swarm Optimization Algorithm for the Solution to Nonlinear Constrained Programming Problem |
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| LIU Chun-an. New Particle Swarm Optimization Algorithm for the Solution to Nonlinear Constrained Programming Problem[J]. Journal of Chongqing University of Technology(Natural Science), 2006, 20(11): 118-120 |
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| Authors: | LIU Chun-an |
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| Affiliation: | Department of Mathematics, Baoji College of Arts and Science, Baoji 721007, China |
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| Abstract: | A new approach is presented to solve the nonlinear constrained optimization problems.Firstly,a constrained optimization problem is transformed 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. |
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| Keywords: | nonlinear programming constraint programming particle swarm optimization |
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