| 基于混合粒子群算法的机场停机位优化分配问题研究 |
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| 引用本文： | 苏原,何秋钊.基于混合粒子群算法的机场停机位优化分配问题研究[J].中国民航飞行学院学报,2013(1):24-28. |
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| 作者姓名： | 苏原 何秋钊 |
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| 作者单位： | 中国民航飞行学院 |
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| 基金项目： | 中国民航飞行学院青年科研基金资助项目(X2010-45) |
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| 摘 要： | 合理且高效的停机位分配方案是提高机场运营效益的重要手段之一。通过对航班占用停机位特性的分析，以旅客步行距离最短和停机位空闲时间均衡为目标函数建立优化模型，设计一种基于遗传算法与PSO算法相结合的混合粒子群算法对其求解，最后运用试验数据来说明该算法求解停机位分配问题的可行性。
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| 关 键 词： | 停机位分配 PSO 优化 数学模型 |
Airport Gate Assignment Optimization Based on Hybrid Particle Swarm Algorithm |
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| Su Yuan He Qiuzhao.Airport Gate Assignment Optimization Based on Hybrid Particle Swarm Algorithm[J].Journal of China Civil Aviation Flying College,2013(1):24-28. |
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| Authors: | Su Yuan He Qiuzhao |
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| Institution: | Su Yuan He Qiuzhao (Civil Aviation Flight University of China Guanghan 618307 Sichuan China) |
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| Abstract: | A sensible airport gate assignment strategy is an important means for improving the operational effectiveness of airports. This paper focuses on minimizing idleness of gates and passenger walking distance to formulate an optimization model by analyzing the characteristics of airport gate occupancy. For solving this problem, a hybrid particle swarm algorithm based on the combination of Genetic algorithm and the PSO algorithm is designed. Last, a real test data is implemented to illustrate the algorithm feasibility. |
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| Keywords: | Airport gate assignment PSO Optimization Mathematical model |
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