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自动变速器换档规则的粒子群优化提取方法
引用本文:芮挺,周游,戎晓力,张金林. 自动变速器换档规则的粒子群优化提取方法[J]. 计算机工程, 2008, 34(5): 263-264
作者姓名:芮挺  周游  戎晓力  张金林
作者单位:1. 解放军理工大学工程兵工程学院,南京,210007
2. 江苏经贸职业技术学院,南京,210007
摘    要:针对神经网络“黑箱”模型的缺陷,利用粒子群优化的换档规则提取算法,将规则编码为粒子的方法,通过粒子群优化算法的“位置-速度”搜索模型生成换档规则集。实验分析了标准粒子群与惯性递减粒子群在最优解搜索过程中的性能差异,并验证了该方法的有效性。

关 键 词:换档规则  规则提取  粒子群优化算法
文章编号:1000-3428(2008)05-0263-02
收稿时间:2007-05-21
修稿时间:2007-05-21

Extraction Method of Gear-shifting Rule from Automatic Transmissions Using Particle Swarm Optimization
RUI Ting,ZHOU You,RONG Xiao-li,ZHANG Jin-lin. Extraction Method of Gear-shifting Rule from Automatic Transmissions Using Particle Swarm Optimization[J]. Computer Engineering, 2008, 34(5): 263-264
Authors:RUI Ting  ZHOU You  RONG Xiao-li  ZHANG Jin-lin
Affiliation:(1. Engineering Institute of Engineering Corps, PLA University of Science & Technology, Nanjing 210007; 2. Jiangsu Institute of Economic & Trade Technology, Nanjing 210007)
Abstract:Aiming at “black box” of neural nets, this paper proposes a Particle Swarm Optimization(PSO) algorithm to extract gear-shifting rules from automatic transmissions, analyzes how to encode extracted rules into particle swarms, discusses the process through which the optimal rules are generated by PSO’s velocity-position model, compares the performance between basic and adaptive PSOs in terms of their abilities to search for the optimal solution. Experimental results demonstrate the effectiveness of the algorithm.
Keywords:gear-shifting rule   rule extraction   particle swarm optimization algorithm
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