计算机与现代化Issue(1)：52-54,120,4.DOI:10.3969/j.issn.1006-2475.2011.01.015
基于人工鱼群算法的机车二系支承载荷调整优化方法
Optimization Model of Locomotive Secondary Spring Load Adjustment Based on Artificial Fish-swarm Algorithm
杨本磊 1潘迪夫1
作者信息
- 1. 中南大学交通运输工程学院,湖南,长沙,410075
- 折叠
摘要
Abstract
As a new optimization strategy, Artificial Fish-swarm Algorithm(AFSA) is not sensitive to initial parameters and values, has the abilities to overcome the local minimum and obtain the global optimum solution.According to the mathematical model of the electric locomotive' s secondary spring loads adjustment, a corresponding optimal model based on AFSA is presented and a method to the electric locomotive' s secondary spring loads adjustment is proposed for the first time.Results of simulation on HXD1B locomotive show that: (1) The method can converge to the same global optimal solution, and the algorithm is stable and reliable; (2) Comparing with the genetic algorithm, AFSA obviously improves the convergence speed and reduces calculated amount and computing time under the condition of the same initial group.关键词
人工鱼群算法/机车二系载荷/优化方法分类
交通工程引用本文复制引用
杨本磊,潘迪夫..基于人工鱼群算法的机车二系支承载荷调整优化方法[J].计算机与现代化,2011,(1):52-54,120,4.
