智能算法在约束优化问题中的应用研究  

Research of Intelligent Algorithm Applied in Constrained Optimization Problems

作　　者：王军涛[1,2] 尹国才[2] 成岳鹏[2] 

机构地区：[1]天津工业大学,天津300387 [2]北华航天工业学院,河北廊坊065000

出　　处：《北华航天工业学院学报》2013年第1期24-27,共4页Journal of North China Institute of Aerospace Engineering

基　　金：廊坊市科技局基金项目(2012011003;2012023055)

摘　　要：针对智能算法和约束优化问题的特点,本文首先回顾智能算法在约束优化问题中的应用现状,尤其是约束条件处理的三种不同方法,即惩罚函数方法,可行解优先方法,多目标优化方法,在此基础上分析解决一般约束优化问题的两阶段方案,其中,第一阶段找到约束优化问题的所有可行解,然后以此通过第二阶段找到最优解。最后对智能算法在约束优化问题中应用的未来研究方向进行简单探讨。With features of intelligent algorithms and constrained optimization problems, this paper firstly reviewed the application of intelligent algorithms in constrained optimization problems, and introduced three methods in the process of threating constrains, namely, method based on penalty functions, method based on preference of feasible solutions and method based on multi - objective optimization. Then it analyzed a scheme with two stages for generic constrained optimization problems, the first stage found all feasi- ble solutions of constrained optimization problems and the second stage found the global optimal solution based on process of the first stage. Finally, this paper simply discussed some research directions of intelligent algorithm applied in constrained optimization in fu- ture.

关 键 词：智能 算法 约束 优化 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]