Multi-Objective Optimization of Ship Speed Under Given Sea Condition and Emission Control Area Regulations

This optimization is aimed at reducing costs and sailing time for shipping companies in the context of rising of fuel prices and development in ECA（Emission Control Area） NAFA-Ⅱ.（Non-Dominated Sorting Genetic Algorithm-II） is used to find the Pareto optimal solutions set, from which the best compromise is chosen. The Tianjin-Ningbo line is analyzed as an example, which demonstrates the effectiveness of the optimization in reducing sailing time and total cost. It is also shown that adjusting the speed management plan is an effective measure to reduce the costs.