SHAPE OPTIMIZATION USING A GENETIC ALGORITHM AND FINITE ELEMENT METHOD

M. Hermann, T. Hruš, P. Kacálek
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Abstract

: Our study examines an algorithm for searching ideal shapes of parts according to their functions and lifetime. Due to finite element method (hereinafter referred to as the „FEM“) we obtain maximal equivalent stress at critical part of component or maximum deformation. This is the value of fitness function for genetic algorithm, which is searching for ideal shape of part according to requirements. The goal of the research is to create a universal algorithm that can be used to optimize any component.
采用遗传算法和有限元法进行形状优化
本文研究了一种根据零件的功能和寿命来搜索零件理想形状的算法。利用有限元法(以下简称“FEM”)可以得到构件关键部位的最大等效应力或最大变形。这是遗传算法的适应度函数值,遗传算法是根据要求搜索零件的理想形状。这项研究的目标是创建一个通用的算法,可以用来优化任何组件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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