因此，离散变量结构拓扑优化的研究具有重要的理论和实际意义。
Therefore, the research on topology optimization of structures with discrete variables has important theoretic significance and actual significance.
采用改进的遗传算法，求解了具有屈曲约束，尤其截面积是离散型的桁架拓扑优化。
We present an improved genetic algorithm(GA) for topology optimization of a truss with discrete sizing and under local buckling constraints.
将相对差商法和混沌优化结合起来，形成求解离散变量桁架结构拓扑优化设计的混合算法。
A hybrid algorithm for topology optimization of trusses with discrete variables is developed which combines relative difference quotient algorithm with chaos optimization.
应用推荐