摘要
提出了一种用混沌搜索求解非线性约束优化的新方法 .利用罚函数思想将约束问题无约束化 ,再利用混沌的内在随机性与遍历性进行求解 .算例仿真结果表明 ,算法简单实用 ,性能良好 ,是解决非线性约束优化问题的有效途径 .
A new method based on chaos search for nonlinear constrained optimization is developed. The optimization problem is first unconstrained by virtue of non\|differentiable exact penalty function, and is further solved making use of the ergodicity and intrinsic randomness of chaos. Simulation instances show that the new method is simple and effective. Chaos search is a new way to solve practical nonlinear constrained optimization problems.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2000年第8期54-57,90,共5页
Systems Engineering-Theory & Practice
关键词
混沌
精确罚函数
非线性约束优化问题
chaos
exact penalty function
nonlinear constrained optimization
