Improve Adaptive GA Architectural Structure Optimization Design Model

DOI

10.2991/mmme-16.2016.77How to use a DOI?

Keywords

Architecture Design; Reinforced Concrete; Adaptive Crossover; Adaptive Mutation; Structural Optimization

Abstract

Classic genetic algorithm is not effective enough in building structural design optimization. This paper pre-sents a building structure optimization design model based on improved adaptive genetic algorithm. First, tak-ing characteristics of genetic algorithm into account, we improve its adaptive crossover probability and adap-tive mutation probability so that the optimization process can be adaptive adjusted with the evolution of popu-lations. We can use improved algorithms to do optimization for beams and columns of reinforced concrete frame structure. Simulation results show that using the improved genetic algorithm to optimize the design of building structure will significantly reduce the cost of project.

Copyright

© 2016, 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  - Jing Liu
AU  - Zhuangwei Huang
PY  - 2016/10
DA  - 2016/10
TI  - Improve Adaptive GA Architectural Structure Optimization Design Model
BT  - Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
PB  - Atlantis Press
SP  - 341
EP  - 345
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmme-16.2016.77
DO  - 10.2991/mmme-16.2016.77
ID  - Liu2016/10
ER  -