Optimum Design of Structures by an Hybrid Artificial Bee Colony and Differential Evolution Algorithm
碩士 === 淡江大學 === 航空太空工程學系碩士班 === 103 === An Hybrid Artificial Bee Colony (ABC) and Differential Evolution Algorithm (DE) was applied to the optimum design of structures in this study. The ABC algorithm is swarm intelligence based optimization technique inspired by the intelligent foraging behavior of...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2015
|
Online Access: | http://ndltd.ncl.edu.tw/handle/98520821932683504720 |
id |
ndltd-TW-103TKU05295018 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-103TKU052950182016-08-12T04:14:30Z http://ndltd.ncl.edu.tw/handle/98520821932683504720 Optimum Design of Structures by an Hybrid Artificial Bee Colony and Differential Evolution Algorithm 結合人工蜂群與差分演算法於結構最佳化之應用 Chao-Hsun Huang 黃昭勳 碩士 淡江大學 航空太空工程學系碩士班 103 An Hybrid Artificial Bee Colony (ABC) and Differential Evolution Algorithm (DE) was applied to the optimum design of structures in this study. The ABC algorithm is swarm intelligence based optimization technique inspired by the intelligent foraging behavior of honeybees. The advantages of ABC algorithm are quick convergence, less settings of parameter, easy to escape from the local optimal solution, and extensive searching range. Differential Evolution algorithm is an evolutional technique that has advantages of easy to implement, little parameter tuning requirement, using the difference calculation to enhance regional search capabilities, and also exhibits reliable, accurate and fast convergence. The advantage of hybrid ABC and DE algorithm is that the merit of both methods can be enhanced to overcome the disadvantage of each method. By using the characteristics of artificial bee colony algorithm which is easy to escape from the local optimal solution and the characteristics of differential evolution algorithm which is using the difference calculation to enhance regional search capabilities, the purpose of optimum design can be reached. The FORTRAN and APDL of ANSYS software are integrated into asystematic ABC-DE optimization program.The optimization problem can be transformed into a mathematical function. Then the optimum deign of structures can be obtained by ABC-DE algorithm. Minimum weight design will be demonstrated in six numerical examples. The results of ABC-DE algorithm are better than other references in the examples. 張永康 2015 學位論文 ; thesis 75 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 淡江大學 === 航空太空工程學系碩士班 === 103 === An Hybrid Artificial Bee Colony (ABC) and Differential Evolution Algorithm (DE) was applied to the optimum design of structures in this study. The ABC algorithm is swarm intelligence based optimization technique inspired by the intelligent foraging behavior of honeybees. The advantages of ABC algorithm are quick convergence, less settings of parameter, easy to escape from the local optimal solution, and extensive searching range. Differential Evolution algorithm is an evolutional technique that has advantages of easy to implement, little parameter tuning requirement, using the difference calculation to enhance regional search capabilities, and also exhibits reliable, accurate and fast convergence. The advantage of hybrid ABC and DE algorithm is that the merit of both methods can be enhanced to overcome the disadvantage of each method. By using the characteristics of artificial bee colony algorithm which is easy to escape from the local optimal solution and the characteristics of differential evolution algorithm which is using the difference calculation to enhance regional search capabilities, the purpose of optimum design can be reached.
The FORTRAN and APDL of ANSYS software are integrated into asystematic ABC-DE optimization program.The optimization problem can be transformed into a mathematical function. Then the optimum deign of structures can be obtained by ABC-DE algorithm. Minimum weight design will be demonstrated in six numerical examples. The results of ABC-DE algorithm are better than other references in the examples.
|
author2 |
張永康 |
author_facet |
張永康 Chao-Hsun Huang 黃昭勳 |
author |
Chao-Hsun Huang 黃昭勳 |
spellingShingle |
Chao-Hsun Huang 黃昭勳 Optimum Design of Structures by an Hybrid Artificial Bee Colony and Differential Evolution Algorithm |
author_sort |
Chao-Hsun Huang |
title |
Optimum Design of Structures by an Hybrid Artificial Bee Colony and Differential Evolution Algorithm |
title_short |
Optimum Design of Structures by an Hybrid Artificial Bee Colony and Differential Evolution Algorithm |
title_full |
Optimum Design of Structures by an Hybrid Artificial Bee Colony and Differential Evolution Algorithm |
title_fullStr |
Optimum Design of Structures by an Hybrid Artificial Bee Colony and Differential Evolution Algorithm |
title_full_unstemmed |
Optimum Design of Structures by an Hybrid Artificial Bee Colony and Differential Evolution Algorithm |
title_sort |
optimum design of structures by an hybrid artificial bee colony and differential evolution algorithm |
publishDate |
2015 |
url |
http://ndltd.ncl.edu.tw/handle/98520821932683504720 |
work_keys_str_mv |
AT chaohsunhuang optimumdesignofstructuresbyanhybridartificialbeecolonyanddifferentialevolutionalgorithm AT huángzhāoxūn optimumdesignofstructuresbyanhybridartificialbeecolonyanddifferentialevolutionalgorithm AT chaohsunhuang jiéhéréngōngfēngqúnyǔchàfēnyǎnsuànfǎyújiégòuzuìjiāhuàzhīyīngyòng AT huángzhāoxūn jiéhéréngōngfēngqúnyǔchàfēnyǎnsuànfǎyújiégòuzuìjiāhuàzhīyīngyòng |
_version_ |
1718374623821692928 |