机械科学与技术2012，Vol.31Issue(5)：694-697,4.
一种改进的自适应遗传算法及其在层合板优化中的应用研究
An Ameliorative Self-adaptive GA Method and Application to Optimization of the Laminate Composite
摘要
Abstract
In order to overcome the shortages of prematurity and worse convergency for conventional genetic algorithm,a new strategy for improving efficiency of the conventional genetic algorithm has been put forward.In the present method,the selection probability and the mutation probability are self-adaptive.Taking the stability of laminate composite as the goal,the optimized laminate sequency is analyzed with the help of using the benchwork of ABAQUS,and the new GA program,the parametric modeling program and the eigenvalue searching program are coded with Python language.Comparing with the conventional genetic algorithm,the new GA method shows a good consistency,fast convergency and practical feasibility.关键词
遗传算法/自适应/Python/ABAQUS/层合板Key words
Genetic algorithm/self-adaptive/Python/ABAQUS/laminate分类
通用工业技术引用本文复制引用
罗利龙,赵美英,穆朋刚..一种改进的自适应遗传算法及其在层合板优化中的应用研究[J].机械科学与技术,2012,31(5):694-697,4.
