期刊
APPLIED SOFT COMPUTING
卷 14, 期 -, 页码 528-535出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.asoc.2013.09.002
关键词
Truss optimization; Genetic algorithm; Optimality criteria; Frequency constraints
资金
- National Natural Science Foundation of China [51205159]
- Fundamental Research Funds for the Central Universities
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. (C) 2013 Elsevier B.V. All rights reserved.
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