Research on an Optimization Model for Coordination Transportation Based on Low-Carbon

摘要

Based on the analysis of the technical and economical characteristics of transportation modes (such as speed, cost and transport capacity), this paper presents a fuzzy planning optimization model for multi-modal transportation coordination, in which the factors including the transportation cost, CO2 emission of transport tool, transportation time and transfer time with uncertainty, transfer conditions and time-window demanded by customer are considered. According to the characteristic of the optimization model, the genetic algorithm is investigated to solve the proposed model. In the end, a numerical example is provided to validate the model and algorithm. The influence of the optimization solution with the timewindows parameter change is analyzed. Meanwhile, the comparison among the given genetic algorithm (GA) and other methods is presented on search capability for optimization solution. The simulation result shows that genetic algorithm is valid and effective to solve the optimization model for coordination transportation based on low-carbom under uncertain environment.