Continuous Berth Allocation Considering Carbon Emission and Uncertainty

For port emission reduction, berth allocation is one of the key decisions. This paper tackles a continuous berth allocation problem under the low-carbon target, taking into account the uncertainty of vessels’ arrival time and handling time. A bi-level bi-objective model is constructed aiming at minimizing the average carbon emission, together with the range of the carbon emission which is introduced for the improvement of robustness. The objective functions in the model contain another optimization problem, so the model is simplified via a hierarchical optimization method. Then a multi-objective genetic algorithm is designed to solve the model and the validity is demonstrated by a data case.