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基于微观遗传算法的结构形状优化设计
引用本文:宋树权,王明强.基于微观遗传算法的结构形状优化设计[J].江苏科技大学学报(社会科学版),2007,21(3):59-62.
作者姓名:宋树权  王明强
作者单位:江苏科技大学,机械与动力工程学院,江苏,镇江,212003;江苏科技大学,机械与动力工程学院,江苏,镇江,212003
摘    要:在形状优化中,传统的优化方法对目标函数和约束条件形态的要求严格,难以获得全局最优解。为解决这个问题,将微观遗传算法应用于结构形状优化中。既消除了对目标函数和约束条件形态的限制,提高了全局寻优能力;又减少了结构分析次数,节省了计算时间,为结构的形状优化提供了一种实用方法。通过算例,验证了该方法的正确性。

关 键 词:微观遗传算法  形状优化  有限元法  ANSYS
文章编号:1673-4807(2007)03-0059-04
修稿时间:2006-05-30

Shape Optimization for Structure Based on Micro Genetic Algorithm
SONG Shuquan,WANG Mingqiang.Shape Optimization for Structure Based on Micro Genetic Algorithm[J].Journal of Jiangsu University of Science and Technology:Natural Science Edition,2007,21(3):59-62.
Authors:SONG Shuquan  WANG Mingqiang
Institution:School of Mechanical and Power Eng. , Jiangsu University of Science and Technology, Zhenjiang Jiangsu 212003, China
Abstract:In the shape optimization,the traditional optimization method has strict limit to the goal function and the restriction condition,and the overall optimum result can hardly be obtained.To solve this problem,the micro genetic algorithm is applied to the shape optimization of structures.The limit to the goal function and the restriction condition is then eliminated,and the ability of the algorithm for the overall optimization is improved.The time for calculation of the structure analysis is also reduced.A practical approach can be provided for the shape optimization of structures.The method is proved valid through the example.
Keywords:micro genetic algorithm  shape optimization  finite element method  ANSYS
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