Genetic algorithm application for multimodal transportation networks

To enhance the efficiency and feasibility in decision-making for multimodal transportation operator, supplying chain management are creating greater demand for multimodal transportation system. So, the problem of an improved model with transportation mode and routes in multimodal transportation networks is established. Aiming at minimizing the overall transport cost, a programming model of multimodal transportation constraint is established. Besides the transportation economies of scale, additional characteristics of multimodal routes are identified. Combining with the feature of this model and this problem, an improved genetic algorithm is presented. The effectiveness of algorithm and program is verified through the analysis of an example. © 2013 Asian Network for Scientific Information.