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- W2186434390 abstract "In this study, we set the average taxi time of flight as the objective of the gate and runway assignment problem. We present a gate and runway combinatorial optimization model with several restrictions such as restrictions of gate and runway time, type of aircraft and service. We design a Discrete Particle Swarm Optimization (DPSO) algorithm to solve this problem. Inspired by the genetic algorithm and combined with the neighborhood search, we propose a new location update strategy. Finally, numerical experiments were carried out on two cases where gate supplication is adequate and it’s not, experimental results show that the discrete particle swarm algorithm achieved very good results." @default.
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- W2186434390 date "2013-03-25" @default.
- W2186434390 modified "2023-10-15" @default.
- W2186434390 title "A Discrete Particle Swarm Optimization Algorithm for Gate and Runway Combinatorial Optimization Problem" @default.
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- W2186434390 doi "https://doi.org/10.19026/rjaset.5.4613" @default.
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