A quasi analytic method for solving structural optimization problems is developed by coordinated use of mathematical transformations, high quality approximation and two level approximation strategy.
协同利用数学变换、高精度近似和二级逼近策略，提出了一种求解结构优化问题的准解析法。
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。
Moreover, a Fibonacci algorithm (FA) for structural optimization with discrete variables was proposed, and some problems were solved by means of FA combined with GA.
提出一种离散变量结构优化设计的斐波那契算法，并与遗传算法结合在一起解决问题。
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