摘要
为解决约束优化问题,设计了一种基于反向向量的差分算法,通过对差分的选择算子的改进,在仿真实验里,能够得到较好的结果。
In order to solve constrain optimization problems,this paper proposed a Opposition-Based Deferential Evolution. By choose different type of deferential operator, it shows that our algorithm proposed in this paper is effectively in simulation experiment.
出处
《电脑编程技巧与维护》
2014年第4期16-17,共2页
Computer Programming Skills & Maintenance
关键词
反向
差分算法
约束优化问题
Opposition
Deferential Evolution
Constrained Optimization Problems
