A GAOC Method for Topology Optimization Design
This paper presents a new topology optimization method using hybrid genetic algorithm, namely GAOC, using the evolutionary mechanism of the genetic algorithm (GA) and the interpolation scheme of optimality criteria method (OC). in GAOC, the optimality criteria method is used to initialize the genetic population, and GA is then applied to the global search in the fixed design domain. In so doing the GAOC method can fully take advantage of the optimality criteria method and the genetic algorithm. The effectiveness of the GAOC method is demonstrated by the widely studied structural minimum weight design. Numerical examples show that the proposed optimization method GAOC can solve general topology optimization problems more effectively and can achieve better results with lower computational cost.
Topology optimization optimality criteria method (OC), genetic algorithm (GA) minimum weight design
Zhimin Chen Liang Gao Haobo Qiu Xinyu Shao
The State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology, Wuhan, P. R. China
国际会议
长沙
英文
2219-2222
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）