基于混沌搜索策略进行空洞探测的进化算法

Genetic Algorithm for Cavity Detection Based on Chaotic Seeking Strategy

结合混沌搜索策略和进化算法提出了一种混合优化方法 ,解决了平板内的空洞探测问题。该算法相较于此前提出的各种方法具有更好的拟合精度和更灵活的计算尺度 ,且能够有效地避免常规进化算法中容易出现的早熟现象。另外 ,在解空间的搜索过程中不受初值的影响 ,从任意点出发均能收敛到全局最优解。仿真结果证明了该算法的有效性。

A hybrid optimum method, which combines the chaos seeking strategy and the genetic algorithm, is proposed and the problem of detecting cavity in panel is solved. Compared with other methods, the method has a better accuracy and more flexible scales so it can avoid the premature phenomena existed in usual genetic algorithm. Moreover, the method is not senstive to initial condition and can achieve the optimal solution from any startpoint. Simulation shows that the hybrid algorithm is effective.