考虑硫氮排放控制区的班轮航线配船与航速联合优化OA

In response to the stringent emission limits established by the International Maritime Organiza-tion for sulfur oxides(SOx)and nitrogen oxides(NOx),as well as the implementation of policies related to E-mission Control Areas(ECAs),this paper constructs a nonlinear programming model under Sulfur and Nitrogen Emission Control Areas(SNECAs).The model takes vessel allocation based on routes,speed selection,and e-mission reduction measures as core decision variables,with the objective of minimizing annual fleet operating costs.To enhance solution efficiency and stability,an improved genetic algorithm incorporating particle swarm optimization(GA-PSO)is proposed.Validation across multiple routes and vessel types demonstrates that GA-PSO achieves superior optimization results compared to standalone PSO or GA.Optimization findings reveal that jointly optimized speed and vessel allocation strategies,while satisfying SNECAs compliance constraints,can significantly reduce total fleet operating costs.These strategies exhibit interpretable sensitivity patterns to fuel and carbon prices,providing decision support for liner shipping companies pursuing sustainable operations and investments under green regulatory frameworks.