A simulation-based optimization approach for multi-objective runway operations scheduling

IF 1.3 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Simulation-Transactions of the Society for Modeling and Simulation International Pub Date : 2022-06-02 DOI:10.1177/00375497221099544
Bulent Soykan, G. Rabadi
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引用次数: 1

Abstract

This paper proposes a simulation-based optimization (SbO) approach for multi-objective runway operations scheduling problem. The SbO approach utilizes a discrete-event simulation component to account for uncertain conditions, and an optimization component for finding the best-known Pareto set of solutions. This approach explicitly considers uncertainty to decrease the real operational cost of the runway operations as well as maximize fairness among aircraft as part of the optimization process. Due to the problem’s large, complex, and unstructured search space, a hybrid Tabu/Scatter Search algorithm is developed to find solutions using an elitist strategy to preserve non-dominated solutions, a dynamic update mechanism to produce high-quality solutions, and a rebuilding strategy to promote solution diversity. The proposed algorithm maximizes both objectives of runway utilization and fairness. Computational experiments are conducted using real-life data sets for a major US airport to demonstrate that the proposed approach is effective and computationally tractable in a practical sense.
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基于仿真的多目标跑道运行调度优化方法
针对多目标跑道运行调度问题,提出了一种基于仿真的优化方法。SbO方法利用离散事件模拟组件来考虑不确定条件,并利用优化组件来寻找最著名的帕累托解决方案集。该方法明确考虑了不确定性,以降低跑道运行的实际运行成本,并将飞机之间的公平性最大化作为优化过程的一部分。针对该问题庞大、复杂和非结构化的搜索空间,提出了一种禁忌/分散混合搜索算法,利用精英策略保留非支配解,动态更新机制生成高质量解,重建策略提高解的多样性。该算法同时实现了跑道利用率和公平性目标的最大化。使用美国主要机场的真实数据集进行计算实验,以证明所提出的方法在实际意义上是有效的,并且在计算上易于处理。
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来源期刊
CiteScore
3.50
自引率
31.20%
发文量
60
审稿时长
3 months
期刊介绍: SIMULATION is a peer-reviewed journal, which covers subjects including the modelling and simulation of: computer networking and communications, high performance computers, real-time systems, mobile and intelligent agents, simulation software, and language design, system engineering and design, aerospace, traffic systems, microelectronics, robotics, mechatronics, and air traffic and chemistry, physics, biology, medicine, biomedicine, sociology, and cognition.
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