Paper Info
Title
Multi-Objective Optimisation Of Steel Frame Of Solid Garage Based On Genetic Algorithm
Abstract
According to design requirement of solid garage, the optimisation of the steel framework of solid garage is a multi-objective issue. In this paper, the optimisation algorithm based on genetic algorithm (GA) was studied. A Pareto GA was proposed to solve the multi-objective optimisation under constraints. The optimal characteristic was passed down by choosing the better individuals from the combination of the parent generation and the offspring generation. The flow chart about optimisation algorithm was carried out. The total weight of steel frame and total dynamic strain energy were objective functions. The multi-objective optimisation of the steel frame was carried out in terms of the corresponding design criterion and the actual engineering requirement. The result indicates that the above-mentioned multi-objective optimisation of the steel frame is feasible. The weight and the dynamic strain energy of the steel frame are decreased obviously.
Year
DOI
Venue
2010
10.1504/IJMIC.2010.032367
INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL
Keywords
Field
DocType
solid garage, steel frame, multi-objective optimisation, genetic algorithm, GA, Pareto
Control theory,Flow chart,Multiobjective programming,User requirements document,Flowchart,Genetic algorithm,Pareto principle,Mathematics
Journal
Volume
Issue
ISSN
9
1-2
1746-6172
Citations 
PageRank 
References 
2
0.42
0
Authors
4
Name
Order
Citations
PageRank
Youlu Jing120.42
Minxiang Wei221.44
Weidong Wen320.42
Zhiwei Shi41128.54