摘要
根据传统遗传算法的特点 ,并结合曲柄摇杆再现已知运动规律的优化设计的特点 ,对传统的遗传算法操作进行了改进研究 ,增加模式补偿的补偿算子 ,迭代后期引入随机样本参与竞争。
According to the characteristic of the Canonical Genetic Algorithm (CGA), crank and rocker mechanism following given trace is used to develop a genetic algorithm. In the improved method, a compensating operator is given to solve the prematurity, and new random individuals are brought.The result shows that the improved method can get the global optimization.
出处
《机床与液压》
北大核心
2003年第4期124-125,138,共3页
Machine Tool & Hydraulics
关键词
遗传算法
曲柄连杆
补偿算子
随机样本
Genetic algorithm
Crank and rocker mechanism
Compensating operator
Random individual
