CDM GDP飞机着陆时隙多目标优化分配

为科学利用机场时隙资源、降低航班延误损失,研究了CDM GDP时隙资源分配方法.提出采用有效性、功效性和公平性均衡的CDM GDP时隙分配方法,给出一种多目标优化模型.模型以有效性为约束,以功效性和公平性为目标,寻求总延误成本损失最小和航空公司间损失偏差最小的分配方案;引入具体的评价指标量化比较分析航空公司间的公平性.模型采用一种多目标遗传算法予以求解.算例仿真结果表明,获得的一组最优方案的功效性和公平性比RBS算法提高了17.9%、88.5%,验证了所提方法的有效性.

Multi-Objection Optimization Allocation of Aircraft Landing Slot in CDM GDP

To make best use of slot resources and reduce delay cost, we study slot rationing methods for Ground Delay Programs under Collaborative Decision Making (CDM GDP). We propose a Multi-Objection Optimization Model (MOOM) based on the principle of Effectiveness-Efficiency-Equity trade-offs. With an effectiveness constraint, the model minimizes the total cost loss and the total loss warp between airlines to find out the best scheme. We also introduce some indexes to evaluate equity among airlines. A multi-objective genetic arithmetic is designed to solve the proposed model. The results of an experiment shows 17.9 delay cost savings and 88.5% equity improvement compared to Ration-By-Schedule(RBS).