Evolutionary Structural optimization (ESO) is a simple and robust numerical method for optimization problems applicable to various types of structures.
渐进结构拓扑优化(eso)是近年来兴起的一种解决各类结构优化问题的数值方法。
Numerical examples illustrate that the present method possesses both good capability to search global optima and far higher convergence speed than that of chaos optimization method.
算例表明，当混沌搜索的次数达到一定数量时，混合优化方法可以保证算法收敛到全局最优解，且计算效率比混沌优化方法有很大提高。
A numerical example shows that the structural analysis and optimization design model and method in this paper are valid and feasible.
算例表明：文中提出的随机结构分析和优化模型与设计方法是合理、可行和有效的。
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