Abstract
Under serious conditions, airport will experience temporary shutdown, and while the airport reopen, the controller must make gate reassignment. In order to get intelligent use of the gate resource, the model was studied both considering operational smoothness and passenger satisfaction. The problem was formulated as a binary quadratic programming problem, and then, the model was transferred into dynamic programming (DP) model to solve by transformation, and the complexity of the DP algorithm is analyzed. Later, an improved Tabu Search algorithm (TS) was designed, and the greedy strategies were mixed to speed up the solving speed under large scale problem. At last, numerical simulation results demonstrate the effectiveness of the model and the improved TS algorithm.
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