计算机工程与应用Issue(22)：28-31,64,5.DOI:10.3778/j.issn.1002-8331.1404-0002
基于改进蚁群算法的梯式轨道多目标优化研究
Multi-objective optimization for ladder track based on improved ant colony algorithm
摘要
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 sim-plified 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.关键词
梯式轨道/蚁群优化算法/多目标/四端参数法Key words
ladder track/ant colony optimization algorithm/multi-objective/four-pole parameter method分类
信息技术与安全科学引用本文复制引用
金浩,刘维宁..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,(22):28-31,64,5.基金项目
国家自然科学基金（No.51278043）。 （）
