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碳交易机制下基于多目标的机队优化配置研究

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为均衡考虑航空公司的经济与环境表现,在碳交易环境下,以运营收益最大化和碳排放总量最小化为目标函数,以航线供需匹配限制、航班旅客需求限制、飞机流平衡限制、机型适航性限制等为约束条件,建立多目标规划模型.针对机队规划问题的特点,采用具有自适应变异能力的遗传算法对该模型进行求解,并通过实例计算验证了该模型的有效性.结果表明,所提出的方法可以在减少8.41%运营收益的同时降低16.55%的碳排放总量,能够均衡考虑航空公司的经济性与环境性需要.
Research on Fleet Optimization Method Based on Multi-objective Under Carbon Trading Mechanism
In order to balance the economic and environmental performance of airlines,a multi-objective planning model is established under the carbon trading environment with the objective function of maximizing operational revenue and minimizing total carbon emissions.Meanwhile,the model is developed with the restrictions of supply and demand matching limit,passenger demand limit,aircraft flow balance limit,aircraft suitability limit and so on.A genetic algorithm with adaptive mutations is used to solve the multi-objective problem,empirical results show that compared to the planning without a policy aiming at reducing carbon emis-sions,the proposed approach can reduce total carbon emissions by 16.55%while reducing operating revenue by 8.41%,balancing the economic and environmental profit of airlines.

carbon trading mechanismmulti-objective planningfleet planninggenetic algorithm

袁楷博、汪瑜、朱梦媛、朱滔

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中国民用航空飞行学院经济与管理学院 广汉 618307

碳交易机制 多目标规划 机队规划 遗传算法

2024

舰船电子工程
中国船舶重工集团公司第709研究所 中国造船工程学会 电子技术学术委员会

舰船电子工程

CSTPCD
影响因子:0.243
ISSN:1627-9730
年,卷(期):2024.44(11)