Size and Topology Optimization for Trusses with Discrete Design Variables by Improved Firefly Algorithm
Firefly Algorithm (FA, for short) is inspired by the social behavior of fireflies and their phenomenon of bioluminescent communication. Based on the fundamentals of FA, two improved strategies are proposed to conduct size and topology optimization for trusses with discrete design variables. Firstly,...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2017/1457297 |
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doaj-31acd85b67744394baea2afff25f71f22020-11-25T01:12:46ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472017-01-01201710.1155/2017/14572971457297Size and Topology Optimization for Trusses with Discrete Design Variables by Improved Firefly AlgorithmYue Wu0Qingpeng Li1Qingjie Hu2Andrew Borgart3Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin 150090, ChinaKey Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin 150090, ChinaHangzhou Xiaoshan Urban Planning Institute, Hangzhou 311200, ChinaFaculty of Architecture and Built Environment, Delft University of Technology, Julianalaan 134, 2628 BL Delft, NetherlandsFirefly Algorithm (FA, for short) is inspired by the social behavior of fireflies and their phenomenon of bioluminescent communication. Based on the fundamentals of FA, two improved strategies are proposed to conduct size and topology optimization for trusses with discrete design variables. Firstly, development of structural topology optimization method and the basic principle of standard FA are introduced in detail. Then, in order to apply the algorithm to optimization problems with discrete variables, the initial positions of fireflies and the position updating formula are discretized. By embedding the random-weight and enhancing the attractiveness, the performance of this algorithm is improved, and thus an Improved Firefly Algorithm (IFA, for short) is proposed. Furthermore, using size variables which are capable of including topology variables and size and topology optimization for trusses with discrete variables is formulated based on the Ground Structure Approach. The essential techniques of variable elastic modulus technology and geometric construction analysis are applied in the structural analysis process. Subsequently, an optimization method for the size and topological design of trusses based on the IFA is introduced. Finally, two numerical examples are shown to verify the feasibility and efficiency of the proposed method by comparing with different deterministic methods.http://dx.doi.org/10.1155/2017/1457297 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yue Wu Qingpeng Li Qingjie Hu Andrew Borgart |
spellingShingle |
Yue Wu Qingpeng Li Qingjie Hu Andrew Borgart Size and Topology Optimization for Trusses with Discrete Design Variables by Improved Firefly Algorithm Mathematical Problems in Engineering |
author_facet |
Yue Wu Qingpeng Li Qingjie Hu Andrew Borgart |
author_sort |
Yue Wu |
title |
Size and Topology Optimization for Trusses with Discrete Design Variables by Improved Firefly Algorithm |
title_short |
Size and Topology Optimization for Trusses with Discrete Design Variables by Improved Firefly Algorithm |
title_full |
Size and Topology Optimization for Trusses with Discrete Design Variables by Improved Firefly Algorithm |
title_fullStr |
Size and Topology Optimization for Trusses with Discrete Design Variables by Improved Firefly Algorithm |
title_full_unstemmed |
Size and Topology Optimization for Trusses with Discrete Design Variables by Improved Firefly Algorithm |
title_sort |
size and topology optimization for trusses with discrete design variables by improved firefly algorithm |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2017-01-01 |
description |
Firefly Algorithm (FA, for short) is inspired by the social behavior of fireflies and their phenomenon of bioluminescent communication. Based on the fundamentals of FA, two improved strategies are proposed to conduct size and topology optimization for trusses with discrete design variables. Firstly, development of structural topology optimization method and the basic principle of standard FA are introduced in detail. Then, in order to apply the algorithm to optimization problems with discrete variables, the initial positions of fireflies and the position updating formula are discretized. By embedding the random-weight and enhancing the attractiveness, the performance of this algorithm is improved, and thus an Improved Firefly Algorithm (IFA, for short) is proposed. Furthermore, using size variables which are capable of including topology variables and size and topology optimization for trusses with discrete variables is formulated based on the Ground Structure Approach. The essential techniques of variable elastic modulus technology and geometric construction analysis are applied in the structural analysis process. Subsequently, an optimization method for the size and topological design of trusses based on the IFA is introduced. Finally, two numerical examples are shown to verify the feasibility and efficiency of the proposed method by comparing with different deterministic methods. |
url |
http://dx.doi.org/10.1155/2017/1457297 |
work_keys_str_mv |
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