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结合能量和力法进行桁架重量的最小化,为此,采用遗传算法作为优化工具。提出的主要思想是减少输入变量。在采用遗传算法进行结构优化时,力法的引入非常有意义。该方法不需要求逆矩阵,只需在遗传算法中加入有限的变量,变量的个数等于结构超静定次数。通过几种不同类型的优化案例,验证了当前方法的有效性,并对不同优化技术的结果进行了比较。
With the combination of energy and force method to minimize the weight of truss, for this reason, using genetic algorithm as an optimization tool. The main idea is to reduce the input variables. In the use of genetic algorithms for structural optimization, the introduction of force method is very meaningful. The method does not need to find the inverse matrix, just add a finite number of variables in the genetic algorithm, the number of variables is equal to the number of statically indeterminate structures. Through several different types of optimization cases, the validity of the current method is verified and the results of different optimization techniques are compared.