摘要：In this work,the shape optimization problem for 2-D elastic isotropic solids is formulated. The objetive function is the minimum weight design with limiting values of maximum stresses. A Genetic Algorithm to optimize boundary element models is discussed. The models are represented by a bit string (chromosome), so we start with a chromosome population created by random, then it is evaluated and the three trans formation operators: selection, cross and mutation are applied to get a new population and so on, until the best chromosome is reached. Finally several examples and their conclusions are also presented.
其他摘要：In this work,the shape optimization problem for 2-D elastic isotropic solids is formulated. The objetive function is the minimum weight design with limiting values of maximum stresses. A Genetic Algorithm to optimize boundary element models is discussed. The models are represented by a bit string (chromosome), so we start with a chromosome population created by random, then it is evaluated and the three trans formation operators: selection, cross and mutation are applied to get a new population and so on, until the best chromosome is reached. Finally several examples and their conclusions are also presented.
