遗传算法在复杂结构离散优化中的应用

Application of Genetic Algorithm in DiscreteOptimization of Complicated Structure

本文利用遗传算法ＧＡ处理离散非凸问的优势，提出将序列二次规划法，改进的外罚函数法与ＧＡ法结合，并提出了进行可行性调整的新策略。

In this paper, a new algorithm is proposed for optimizing large complicated structures It bases on the genetic algorithm (GA), the sequential quadratic programming algorithm and the improved outer penalty function algorithm It has the same advantage as GA in dealing with the discrete, non -convex problem At the same time, new tactics dealing with the regulation of feasibility are also proposed