基于并行混沌和单纯形法的混合全局优化算法

A Hybrid Global Optimization Algorithm Based on Parallel Chaos Optimization and Simplex Search

混沌优化算法采用的是串行优化结构,采用并行结构进行,并不断缩小搜索空间,提高了混沌优化在变量取值范围较大情况下的搜索效率。针对混沌在全局最优点附近搜索速度变得很慢、精度较低的缺点,结合单纯形法,提高了收敛的速度和求解精度。仿真结果表明并行混合优化算法可以得到满意的结果。

This paper presents a new hybrid global optimization algorithm based on parallel chaos optimization and simplex search. Parallel chaos optimization algorithm improves the efficiency of searching in the whole field by gradually shrinking the area of optimization variable. By integrating simplex search the precision of parallel chaos optimization result is evidently improved. Simulation results show that this hybrid algorithm is satisfactory.