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协同时隙再分配是以利益为中心的自私理性个体间的分布式协作问题，具有高度的动态性和不确定性，再分配的目标是在追求个体自身利益最大化的基础上，实现群体目标.本文分析了DCCEA（分布式协同多目标进化算法）的特性及原理，确定了其在时隙再分配问题中的可用性，并在此基础上构建了基于时隙再分配的分布式协同多目标进化算法模型.仿真实验结果表明，模型在提高总交换效用的同时，增强了航空公司外部交换的自主性，同时分配效率也得到了进一步提高，增强了分配时效性，由此更为有效地解决了分布式动态环境下的CDM GDP（地面延误程序）时隙再次分配问题.

DCCEA Model for Dynamic Slot Reassignment

Collaborative slot reassignment is a collaborative problem between self serving and rational individuals. It is based on profits and with high dynamic and indeterminacy. The assignment achieves holistic aim based on the maximum of individual profits. This paper analyzes the characteristics of the distributed cooperative co evolutionary algorithm (DCCEA) and then applies it into the collaborative slots reassignment. Then a DCCEA model is formulated for dynamic slot reassignment in CDM GDP. The simulation experiment indicates that the model maximizes total exchange avail, boosts up voluntary exterior exchange between airline companies and also improves slot reassignment efficiency. The model effectively solves distributed dynamic slot reassignment problem in Ground Delay Program under Collabrative Decision Making (CDM GDP).