Multi-objective optimization for ladder track based on improved ant colony algorithm

Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (22): 28-31.

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Multi-objective optimization for ladder track based on improved ant colony algorithm

JIN Hao1, LIU Weining2

1.College of Civil Engineering, Shaoxing University, Shaoxing, Zhejiang 312000, China
2.School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China

Online:2014-11-15 Published:2014-11-13

基于改进蚁群算法的梯式轨道多目标优化研究

金浩1，刘维宁2

1.绍兴文理学院土木工程学院，浙江绍兴 312000
2.北京交通大学土木建筑工程学院，北京 100044

Abstract

Abstract: In order to optimize rail vibration acceleration and foundation vibration acceleration for the ladder track, MO-FHACO（multi-objective foraging-homing ant colony algorithm） is employed in this paper. The ladder track is simplified using four-pole parameter method. Vibration acceleration level of rail and vibration acceleration level of foundation ranging from 1 Hz to 80 Hz are set objective functions. Stiffness and number of sleeper bearings are set designing variables. After several optimizations by MO-FHACO, optimization solutions of bi-objective for the ladder track are obtained. Results show that, it’s an efficient method for multi-objective optimization of the ladder track with MO-FHACO.

Key words: ladder track, ant colony optimization algorithm, multi-objective, four-pole parameter method

摘要： 鉴于梯式轨道在实际应用过程中，需要同时优化钢轨振动加速度和道床振动加速度，利用MO-FHACO（多目标觅食-返巢机制连续域蚁群算法）对其进行双目标优化。利用四端参数法建立对应的梯式轨道数学模型，将1~80 Hz频段钢轨振动加速度级和道床振动加速度级作为优化目标，枕下减振垫刚度和数量作为设计变量。经过MO-FHACO双目标优化，成功得到梯式轨道双目标优化解。结果表明，采用MO-FHACO对梯式轨道进行多目标优化具有工程应用价值。

关键词: 梯式轨道, 蚁群优化算法, 多目标, 四端参数法

JIN Hao1, LIU Weining2. Multi-objective optimization for ladder track based on improved ant colony algorithm[J]. Computer Engineering and Applications, 2014, 50(22): 28-31.

金浩1，刘维宁2. 基于改进蚁群算法的梯式轨道多目标优化研究[J]. 计算机工程与应用, 2014, 50(22): 28-31.

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Multi-objective optimization for ladder track based on improved ant colony algorithm

基于改进蚁群算法的梯式轨道多目标优化研究

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