集美大学学报（自然科学版）2026，Vol.31Issue(3)：321-334,14.DOI:10.19715/j.jmuzr.2026.03.06
考虑硫氮排放控制区的班轮航线配船与航速联合优化
Joint Optimization of Vessel Allocation and Speed for Liner Routes in Sulfur and Nitrogen Emission Control Areas
摘要
Abstract
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.关键词
硫氮排放控制区/航线配船/航速优化/融合粒子群的改进遗传算法/运营成本Key words
sulfur and nitrogen emission control areas(SNECAs)/ship routing allocation/ship speed opti-mization/improved genetic algorithm in corporating particle swarm optimization(GA-PSO)/operating cost分类
交通工程引用本文复制引用
陈伟,赵强,张市委,廖勋..考虑硫氮排放控制区的班轮航线配船与航速联合优化[J].集美大学学报（自然科学版）,2026,31(3):321-334,14.基金项目
福建省自然科学基金项目(2023J1326) （2023J1326）
