摘要
通过对比空车调整问题的确定性模型与实际问题之间的差异,提出一类随机机会约束模型来模拟实际空车调整问题。通过引入概率模拟实际问题中的不确定因素,将确定性模型转化为不确定性模型,以使模型能更准确的反映实际,并将经济学指标作为评价标准。通过遗传算法求解算例,表明模型和方法的有效性。
Through comparing the difference between the certainty mode and actual problems of empty car distribution, the essay gives a type of stochastic chance-constrained model to simulate the problem of actual empty-car distribution. Through importing the probability to model the uncertain factors of actual issues, the certainty model is transferred to uncertainty model, which could more accurately response to the reality, and make economic index as evaluation standard. In the end, the validity of model and method could be indicated by solving calculation instances of genetic algorithm.
出处
《铁道运输与经济》
北大核心
2007年第6期85-87,共3页
Railway Transport and Economy
关键词
不确定规划
随机机会约束
空车调整
遗传算法
uncertainty programming
stochastic chance-constrained
emptycar distribution
genetic algorithm
