摘要
不同于只考虑需求确定的情形,通过引入三角模糊数解决需求模糊情形下多式联运路径选择问题.并将碳成本纳入考虑范围,建立了基于综合成本、时间和碳排放量的多目标优化模型.在此基础上,利用逐步法求解该模型.结合实例验证,该模型可以平衡成本和碳排放量之间的关系,达到控制碳排放量的效果.
Instead of only considering certain demand, the triangular fuzzy function is introduced to solve intermodal transportation optimization problem in fuzzy demand condition. Taking carbon cost into consideration, multi-objective optimization model based on comprehensive cost, time and carbon emissions is established. On this basis, STEM is used to solve the model. The example shows the model can balance the relationship between the costs and carbon emissions and decrease carbon emissions.
出处
《宁夏大学学报（自然科学版）》
CAS
2017年第2期173-179,共7页
Journal of Ningxia University(Natural Science Edition)
基金
国家自然科学基金资助项目(11302125
71301101)
上海教育委员会科研创新重点项目(11ZS1145)
上海市教育委员会重点学科基金资助项目(J50704)
关键词
多式联运
需求模糊
碳成本
多目标规划
逐步法
multimodal transportation
fuzzy demand
carbon cost
multi-objective optimization
step by step method
