Structural topology optimization based on improved genetic algorithm

DOI

10.2991/meita-15.2015.187How to use a DOI?

Keywords

Genetic algorithm, Bi-directional evolutionary structural optimization algorithm, Topology optimization.

Abstract

This article aim at solving the problem of local optimal solution easily appear in structural optimization by the algorithm of bi-directional evolutionary structural optimization (BESO), and importing improved genetic algorithm (GA), put forward a new algorithm named bi-directional evolutionary structural optimization based on improved genetic algorithm (IGA-BESO). In study, it adopts the dual coding method to build the model of the structure, through a suitable for topology optimization of crossover and mutation with penalty factor method to update the individual genes of the population. This paper, optimize a typical structure for compliance optimization with multiple load cases with method of IGA-BESO, and the optimization results show that the proposed method not only improves the computational efficiency, but also improve the stiffness of the structure.

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  - Structural topology optimization based on improved genetic algorithm
BT  - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications
PB  - Atlantis Press
SP  - 989
EP  - 994
SN  - 2352-5401
UR  - https://doi.org/10.2991/meita-15.2015.187
DO  - 10.2991/meita-15.2015.187
ID  - Qu2015/08
ER  -