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一种新的混合遗传算法及其在机构优化中的应用
引用本文:邓堃,邹慧君,郭为忠.一种新的混合遗传算法及其在机构优化中的应用[J].上海交通大学学报,2006,40(2):243-247.
作者姓名:邓堃  邹慧君  郭为忠
作者单位:上海交通大学,机械与动力工程学院,上海,200030
摘    要:针对传统遗传算法所存在的缺点和不足,提出了一种新的混合遗传算法.该算法用模拟退火算法适当拉伸适应度,自适应算法合理调整交叉概率Pc与变异概率Pm以及最优保存策略保护历代最优个体的办法对传统遗传算法进行了改进,同时对约束条件作出了先放宽后逐步加强的措施.经Visual C软件编程计算,得到了较好的优化结果.实例说明,该混合算法收敛速度快,易突破局部收敛的局限而达到全局最优.

关 键 词:混合算法  模拟退火算法  自适应  遗传算法  机构优化
文章编号:1006-2467(2006)02-0243-05
收稿时间:2005-02-23
修稿时间:2005年2月23日

A New Composite Genetic Algorithm and Its Application in Mechanism Optimization
DENG Kun,ZOU Hui-jun,GUO Wei-zhong.A New Composite Genetic Algorithm and Its Application in Mechanism Optimization[J].Journal of Shanghai Jiaotong University,2006,40(2):243-247.
Authors:DENG Kun  ZOU Hui-jun  GUO Wei-zhong
Institution:School of Mechanical Eng , Shanghai Jiaotong Univ , Shanghai 200030, China
Abstract:After analyzing the weaknesses of traditional genetic algorithm(GA),this paper put forward a new composite genetic algorithm.It improves the traditional GA in the way that applies an simulated annealing algorithm to increase the fitness properly,a self-adaptation to adjust the value of P_c and P_m and an optimal preservation strategy to protect the best individual.At the same time,the restraint conditions are arranged rationally.The case shows that this algorithm can restrain itself quickly, and easily overcome the local restraint weakness and get the entire optimal result.Perfect outcome was obtained after programming with software VC in the optimum design of double-elbow mechanism of die-cutting machine.
Keywords:composite algorithm  simulated annealing algorithm  self-adaptation  genetic algorithm  mechanism optimization
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