玻璃钢/复合材料Issue(6)：28-32,5.
基于改进双种群遗传算法的复合材料层合板铺层优化设计
STACKING SEQUENCE OPTIMIZATION OF COMPOSITE LAMINATE BASED ON IMPROVED DUAL POPULATION GENETIC ALGORITHM
摘要
Abstract
In order to solve the problem of premature convergence or slow convergence of algorithms,which can be easily seen in the progress of composite laminates design and optimization,through combining multi population genetic algorithm and adaptive genetic algorithm,a new improved dual population genetic algorithm with a adaptive operator is proposed.Taking as an example of symmetric laminated for test,a Patran finite element initial model is established.And,with Matlab,the main program of genetic algorithm and data transfer procedures is compiled,by which the Nastran input and output files can be written and read.Then a fitness function based on Tsai-Wu failure criterion is established,and the laminate stacking sequence is optimized.Compared with the traditional genetic algorithm,the results show that the improved algorithm can improve the optimization efficiency obviously,and can effectively converge to the global optimal solution,consequently providing a new solution to the optimization problem of composite structures.关键词
双种群遗传算法/复合材料层合板/铺层顺序Key words
dual population genetic algorithm/composite laminate/stacking sequence分类
通用工业技术引用本文复制引用
郑国文,谢习华..基于改进双种群遗传算法的复合材料层合板铺层优化设计[J].玻璃钢/复合材料,2017,(6):28-32,5.基金项目
大型航空复合材料承力构件制造基础研究(2014CB046502) （2014CB046502）
