The periodic structure topology optimization using improved genetic algorithm

DOI

10.2991/meita-15.2015.153How to use a DOI?

Keywords

Genetic algorithm; Bi-directional evolutionary structural optimization algorithm; Periodic structure optimization

Abstract

This paper combine improved genetic algorithm with bi-directional evolutionary structural optimization algorithm to optimize structure in dual coding way. The new algorithm not only has solved the genetic algorithm (GA) problem which is easy to appear premature, but also has solved the bi-directional evolutionary structural optimization algorithm (BESO) problem which is easy to get a local optimal solution. In order to satisfy the constraints of the periodic structure, the design area is divided into the form of unit cells, and optimize the representative unit cell, other cells content repeat constraints. This paper optimize the typical periodic structure with the new method of topology optimization, and the optimization results show that the presented method is reliability and validity.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dongyue Qu
AU  - Yangyang Huang
AU  - Jinyu Song
PY  - 2015/08
DA  - 2015/08
TI  - The periodic structure topology optimization using improved genetic algorithm
BT  - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications
PB  - Atlantis Press
SP  - 828
EP  - 831
SN  - 2352-5401
UR  - https://doi.org/10.2991/meita-15.2015.153
DO  - 10.2991/meita-15.2015.153
ID  - Qu2015/08
ER  -