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Complex Genetic Algorithm for Structure Shape Optimization Design of Mixed Discrete Variables

机译:混合离散变量结构形状优化设计复杂的遗传算法

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Discrete complex method is used in genetic algorithm(GA) and a mixed genetic algorithm called complex genetic algorithm(CGA) is formed. The complex method used here increases the quality of species groups, and improves the searching efficiency. The mixed genetic algorithm method is used in the shape optimization for mixed discrete variables. The integration and coding of the shape variables and the cross-section variables in genetic algorithm can not only solve the coupling problem of two kinds of variables, but also avoid the partial optimum solution resulting from the separation of the two kinds of variables. The result of the exemplification indicates that the complex genetic algorithm for structure shape optimization design of mixed discrete variables is effective.
机译:离散复杂方法用于遗传算法(GA),形成称为复杂遗传算法(CGA)的混合遗传算法。这里使用的复杂方法增加了物种组的质量,提高了搜索效率。混合遗传算法方法用于混合离散变量的形状优化。形状变量的集成和编码和遗传算法中的横截面变量不仅可以解决两种变量的耦合问题,而且还避免了由两种变量的分离产生的部分最佳解决方案。示例的结果表明,混合离散变量的结构形状优化设计复杂的遗传算法是有效的。

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