A hybrid OC-GA approach for fast and global truss optimization with frequency constraints

作者：Zuo Wenjie^*; Bai Jiantao; Li Bin

来源：Applied Soft Computing, 2014, 14: 528-535.

DOI：10.1016/j.asoc.2013.09.002

• Truss optimization
• Genetic algorithm
• Optimality criteria
• Frequency constraints

The truss optimization constrained with vibration frequencies is a highly nonlinear and more computational cost problem. To speed up the convergence and obtain the global solution of this problem, a hybrid optimality criterion (OC) and genetic algorithm (GA) method for truss optimization is presented in this paper. Firstly, the OC method is developed for multiple frequency constraints. Then, the most efficient variables are identified by sensitivity analysis and modified as iteration scheme. Finally, OC method, serving as a local search operator, is integrated with GA. The numerical results verify that the hybrid method provides powerful ability in searching for more optimal solution and reducing computational effort.

• 出版日期2014-1
• 单位吉林大学