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基于遗传算法的行星轮减速器优化
引用本文:卢丽娟,王春燕,辛宇.基于遗传算法的行星轮减速器优化[J].机械工程师,2014(7):152-153.
作者姓名:卢丽娟  王春燕  辛宇
作者单位:太原科技大学机械工程学院;
摘    要:遗传算法可以通过模拟自然进化的过程来搜索最优解,只需目标函数及适应度函数,不需要依赖梯度或其它辅助信息,多用于函数优化、组合优化、生产调度、自动控制、机器人学、图像处理、遗传编程等诸多方面。文中利用遗传算法对行星轮减速器进行了多目标函数的遗传算法优化分析。

关 键 词:遗传算法  行星轮减速器  适应度函数  约束条件

Optimization of Planet Gear Based on the Genetic Algorithm
LU Lijuan,WANG Chunyan,XIN Yu.Optimization of Planet Gear Based on the Genetic Algorithm[J].Mechanical Engineer,2014(7):152-153.
Authors:LU Lijuan  WANG Chunyan  XIN Yu
Affiliation:(College of Mechanical Engineering, Taiyuan University of Science and Techndogy. Taiyuan030024, China)
Abstract:Genetic Algorithm (GA) can be used to search the optimal solution by simulating the process of natural evolution based on objective function and fitness function. The algorithm does not depend on tile gradient or other auxiliary information, so it is applied widely in terms of fuuction optimization, combinatorial optimization, production scheduling, automatic control, robotics, image processing, genetic programming. In this paper, the genetic algorithm of planetary gear reducer is used to analyze the genetic algorithm optimization of objective function.
Keywords:genetic algorithm  planet gear  fitness function  constraint condition
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