基于和声搜索遗传算法的桁架结构拓扑优化

TOPOLOGY OPTIMIZATION OF TRUSS STRUCTURE BASED ON HARMONIC SEARCH GENETIC ALGORITHM

摘要

摘要:为改善传统设计理念和遗传算法优化不足，促进桁架结构离散变量拓扑优化发展与创新，将遗传算法与和声搜索算法混合，同时对遗传交叉和变异分3种情况进行自适应改进，建立了用于桁架结构拓扑优化的新型混合遗传算法——和声搜索遗传算法，利用该方法分别对平面桁架和空间桁架结构进行拓扑优化分析，并与改进遗传算法、拟满应力遗传算法、相对差商法、复合形遗传算法和改进蚁群算法比较，证明了此方法是有效、可行的。

Abstract:In order to improve the traditional design concept and the optimization of genetic algorithm, and promote the development and innovation of topology optimization of discrete variables of truss structure, the genetic algorithm and the harmonic search algorithm were mixed, and the genetic crossover and variation were adaptively improved. The comparison of the composite genetic algorithm and the improved ant colony algorithm proves that this method is effective and feasible.