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基于父子混合选择遗传算法的大型压力机主梁的最优设计
引用本文:蔡兰蓉,邵海宁,胡德金.基于父子混合选择遗传算法的大型压力机主梁的最优设计[J].现代制造工程,2007(4):90-92.
作者姓名:蔡兰蓉  邵海宁  胡德金
作者单位:1. 上海交通大学机械与动力工程学院制造技术与自动化研究所,上海,200030
2. 山东济南锅炉集团有限公司,济南,250023
摘    要:主梁是大型压力机的关键受力构件之一,其最优设计问题是一类很难求解的非线性规划问题.传统的优化方法在解决这类复杂优化问题时显示出自身的一些不足.针对传统优化算法的局限性,提出用简单实用的基于父子混合选择遗传算法,对大型压力机的主梁进行优化设计.并用一个仿真算例验证了该算法的有效性和可行性.

关 键 词:主梁  父子混合  遗传算法  优化设计  父子  混合选择  遗传算法  大型压力机  主梁  最优  优化设计  selection  combined  based  machine  pressing  large  design  minimization  有效性  验证  仿真算例  优化算法  显示
文章编号:1671-3133(2007)04-0090-04
修稿时间:2006年10月20

Weight minimization design of main girder of large pressing machine based on father-offspring combined selection GA
Cai Lan-rong,Shao Hai-nin,Hu De-jin.Weight minimization design of main girder of large pressing machine based on father-offspring combined selection GA[J].Modern Manufacturing Engineering,2007(4):90-92.
Authors:Cai Lan-rong  Shao Hai-nin  Hu De-jin
Abstract:Main grider is one of the most important forced parts of large pressing machine.Its optimal design is a "hard" nonlinear optimization problem.Classical optimization algorithms are generally not successful in solving such hard optimization problems.Aiming at the limitations of traditional optimization design,puts forward a father-offspring combined selection genetic algorithm to solve this optimization problem effectively. A numerical example is used to demonstrate the validity and availability of the proposed algorithm.Optimization results show that the father-offspring combined selection genetic algorithm is effective.
Keywords:Main girder  Father-offspring combined selection  Genetic Algorithm(GA)  Optimal design
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