Static and Dynamic multi-objective topological optimization of truss with interval parameters

摘要：

A static and dynamic multi-objective programming scheme for truss topology optimization with interval parameters is presented. Through Taylor expansion and interval extension of function, the interval of the objective function and the constraint function can be obtained. A risk index and a deviation are employed to deal with the uncertain objective function, and a possibility degree level index is used to deal with the uncertain constraint function. The interval optimization problem is transformed into a corresponding deterministic one. The CMOPGA (genetic algorithm for constrained multi-objective optimization problem) is adopted to solve the finally obtained deterministic and constraint multi-objective optimization problem. A typical truss structure is used to prove the validity of the model and the method proposed in this paper..

关键词： truss topological optimization interval parameter multi-objective genetic algorithm

作者: Y.J. Jin B. Xu J.S. Jiang

作者单位: School of Mechanics,Civil Engineering and Architecture,Northwestern Polytechnical University,Xian,710072,P.R.China

会议类型: 国际会议

会议名称: The Third International Conference on Modelling and Simulation(第三届国际建模、计算、仿真、优化及其应用学术会议 ICMS 2010)

会议地点: 无锡

会议语种:英文

页码: 274-278

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）