基于混合遗传算法的结构优化设计

OPTIMIZED DESIGN BASED ON THE HYBRID GENETIC ARITHMETIC

针对遗传算法在迭代过程中经常出现早熟、收敛速度慢、局部搜索能力差等缺点,对遗传算法中的遗传算子进行了改进,提出梯度算法与遗传算法相结合的混合遗传算法。分析表明,这种混合遗传算法既发挥了梯度算法局部搜索能力强的特点,又结合了遗传算法全局搜索能力强的优点,避免出现早熟现象,使收敛速度大大改善,具体算例表明该混合遗传算法是一种有效的工程结构优化方法。

Genetic arithmetic operators in genetic algorithm be improved, and a hybrid genetic algorithm of a gradient algorithm combining with the genetic algorithm be given against to the defects such as the prema- turity, slow on the convergence rate, weak in the ability of local search, all those appeared on the progress of the genetic algorithm iteration. The analysis result indicate that not only the strong on the local search capacity of gradient algorithm be exhibited but also the strong on the general search capacity of genetic algorithm combined based on the hybrid genetic algorithm, which avoid the prematurity phenomenon, and the rate of convergence be improve greatly. The concrete calculated example indicated that the hybrid genetic algorithm is an effective structural optimization method.