GLOBAL TOPOLOGY OPTIMIZATION (GTO) OF DISCRETE-SIZING STRUCTURES BASED ON GENETIC ALGORITHM
This paper develops a genetic algorithm (GA) to globally optimize weight of a structure in phase with discrete size and topological variables. Based on GA, a modified mathematical model is detailed regarding some constraints including stress, stability, and displacement, under multiple loading conditions. However, since discrete-sizing or topological variable structures are of their own value property, mixed coding schemes are presented to select the optimal structures shape in various conditions. In addition, because the initial population and operators of GA are indeterminable, modified operators are assigned for a more relatively accurate result after the model test and stability analysis. Ultimately, in order to examine the practicability of the algorithm and the model, the feasibility and effectiveness of the method are demonstrated with one well-studied typical structure example.
discrete-sizing structure GTO GA-based model mized coding operators initial population
Hao Sun Yang Liu Jian-Wei Bai
School of Civil Engineering, Hohai University, Nanjing 210098, P.R. China
国际会议
广州
英文
1726-1731
2009-11-28（万方平台首次上网日期，不代表论文的发表时间）