摘要
该文在详细分析遗传算法和直接搜索法优缺点的基础上提出了一种基于遗传算法和直接搜索策略的混合优化算法。该算法既具有遗传算法的全局寻优能力,又具有直接搜索法的局部寻优能力。可大大提高寻优的精度和速度。该混合算法先用遗传算法对给定区域进行全局的粗略搜索,然后用直接搜索法对其中部分较优个体进行局部的精细搜索。应用于PID自整定的仿真实验表明该算法可节约绝大部分的进化代数,极大地提高寻优的速度,同时,PID整定的参数一致性好,具有比遗传退火策略更一致的寻优精度。
A new combined optimal algorithm is proposed in this paper based on the genetic algorithm and direct search method. This combined algorithm has both the capability of optimization in the global area and the capability of optimization of the direct search methods in the local area. Simulations have been carried out on the PID controller tuning and the results show the combined algorithm greatly improved the search speed and consistence of the search results is better compared with the genetic annealing strategy.
出处
《计算机仿真》
CSCD
2005年第12期139-142,共4页
Computer Simulation
基金
湖北省自然基金(No.2004ABA018)
