Multiobjective Optimization Design of Steel Frame of Solid Garage based on Genetic Algorithm

摘要：

According to design requirement of solid garage,the optimal design of the steel framework of solid garage is a multiobjective issue.In this paper,the optimization method based on genetic algorithm(GA) was studied.A Pareto GA was proposed to solve the constrained multiobjective optimization.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 algorithm was written out.The steel frame and its total dynamic strain energy were objective function.The multiobjective optimization 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 multiobjective optimization of the steel frame is feasible.The weight and the dynamic strain energy of the steel frame are decreased obviously.

关键词： Solid Garage Steel Frame Multiobjective Optimization Genetic Algorithm Pareto

作者: Youlu-Jing Minxiang-Wei Weidong-Wen Zhiwei-Shi

作者单位: College of Energy & Power Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing,Chi Shandong University of Technology,Zibo,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）