Multiobjective Topological Optimization for Two-Dimensional Multiple Loadings Structure：Application of Rank-Based Genetic Algorithm Approach

• Main Authors: Chun-Hsien Chiang, 江春賢
• Other Authors: Chun-Yin Wu
• Format: Others
• Language: en_US
• Published: 2001
• Online Access: http://ndltd.ncl.edu.tw/handle/54076011867306890202

碩士 === 大同大學 === 機械工程研究所 === 89 === For the optimal design of topology of structure, this study contains several important methods which are continuum checking, the modification of gene therapy, analyzed by finite element method (FEM), and used rank-based genetic algorithm, Pareto GA, for the search of multiobjective optimization. For the genetic algorithm, beside the operators of simple genetic algorithm (SGA) which includes reproduction, crossover, and mutation, the Pareto GA also comprises niche and Pareto-set filter operator. These two operators and gene therapy etc. could increase the performance and capability of our program for this study. Before researching, we firstly adopt two equations with three functions to ensure the architecture and performance of the Pareto GA section within our program, and then apply an frequently used engineering example, the four-bar plane truss structure, to verify the correction of the whole architecture and organization of our program. For the optimal design of topology of structure, using proved program could get not bad result.