Optimizing Gate Assignment Airport Based on Genetic-Tabu Algorithm

摘要：

This paper proposes a multi-objective model of the airport gate assignment problem (AGAP) and the GA-based optimization algorithms. The objectives are minimizing the total walking distance of passengers and the robust assignment (minimizing the dispersion of idle time periods). A Genetic-Tabu algorithm combining genetic algorithms with tabu search and meta-heuristic method is given to solve the gate assignment problem and the numerical simulations are made. The illustrative examples shows the validity of the proposed approach.

关键词： Gate assignment Airport capacity Optimization Genetic algorithm Tabu search

作者: Dongxuan Wei Changyou Liu

作者单位: College of Civil Aviation Nanjing University of Aeronautics and Astronautics Nanjing 210016,P.R.of C College of Air Traffic Management Civil Aviation University of China Tianjin 300300,P.R.of China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）