Multiobjective Topological Optimization for Two-Dimensional Multiple Loadings Structure:Application of Rank-Based Genetic Algorithm Approach
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...
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ndltd-TW-089TTU004890072015-10-13T12:14:42Z http://ndltd.ncl.edu.tw/handle/54076011867306890202 Multiobjective Topological Optimization for Two-Dimensional Multiple Loadings Structure:Application of Rank-Based Genetic Algorithm Approach 二維多負載結構之多目標外形最佳化設計:排序遺傳演算法之應用 Chun-Hsien Chiang 江春賢 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. Chun-Yin Wu 吳 俊 瑩 2001 學位論文 ; thesis 0 en_US |
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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.
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author2 |
Chun-Yin Wu |
author_facet |
Chun-Yin Wu Chun-Hsien Chiang 江春賢 |
author |
Chun-Hsien Chiang 江春賢 |
spellingShingle |
Chun-Hsien Chiang 江春賢 Multiobjective Topological Optimization for Two-Dimensional Multiple Loadings Structure:Application of Rank-Based Genetic Algorithm Approach |
author_sort |
Chun-Hsien Chiang |
title |
Multiobjective Topological Optimization for Two-Dimensional Multiple Loadings Structure:Application of Rank-Based Genetic Algorithm Approach |
title_short |
Multiobjective Topological Optimization for Two-Dimensional Multiple Loadings Structure:Application of Rank-Based Genetic Algorithm Approach |
title_full |
Multiobjective Topological Optimization for Two-Dimensional Multiple Loadings Structure:Application of Rank-Based Genetic Algorithm Approach |
title_fullStr |
Multiobjective Topological Optimization for Two-Dimensional Multiple Loadings Structure:Application of Rank-Based Genetic Algorithm Approach |
title_full_unstemmed |
Multiobjective Topological Optimization for Two-Dimensional Multiple Loadings Structure:Application of Rank-Based Genetic Algorithm Approach |
title_sort |
multiobjective topological optimization for two-dimensional multiple loadings structure:application of rank-based genetic algorithm approach |
publishDate |
2001 |
url |
http://ndltd.ncl.edu.tw/handle/54076011867306890202 |
work_keys_str_mv |
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