Model and algorithm for container allocation problem with random freight demands in synchromodal transportation (Q1667146)

Summary: This paper aims to investigate container allocation problem with random freight demands in synchromodal transportation network from container carriers' perspective. Firstly, the problem is formulated as a stochastic integer programming model where the overall objective is to determine a container capacity allocation plan at operational level, so that the expected total transportation profit is maximized. Furthermore, by integrating simulated annealing with genetic algorithm, a problem-oriented hybrid algorithm with a novel gene encode method is designed to solve the optimization model. Some numerical experiments are carried out to demonstrate the effectiveness and efficiency of the proposed model and algorithm.