Robust Low-Carbon Discrete Berth Allocation under Uncertainty

Abstract

A robust discrete berth allocation method under a low-carbon target is proposed in this study, considering the uncertainty of vessels' arrival time and handling time. According to the actual situation of port operations, a bilevel, biobjective model is established to minimize both average carbon emission and the range of carbon emission during the berthing period. A set of alternative berth allocation schemes, namely, the set of Pareto solutions, are obtained by a heuristic algorithm based on a genetic algorithm. The effectiveness of the proposed method is verified by simulation.