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Aiming at the airport clear water vehicle scheduling problem, considering the situation that clear water vehicles with multi-specification load capacity provide guarantee services for flights of different aircraft types, an optimal airport clear water vehicle scheduling model was constructed to minimize the number of vehicles in use and the waiting service time for flights. By introducing time window span and service waiting time as the key factors of the state transfer rule, and adopting stage pheromone evaporation and intra-path 2-opt and inter-path 2-opt* optimization strategies, the traditional ant colony algorithm is improved in terms of applicability and used for model solving. Finally, the operational data of a hub airport in Southwest China was used as an example for validation. Compared with the traditional first-come-first-served scheduling, the number of vehicles in use and the flight waiting service time are reduced by 27.3% and 22.9%, respectively, for the scheduling scheme obtained by solving the improved ant colony algorithm. The results show that the constructed model and algorithm demonstrate high optimization efficiency and practicality in the airport clear water vehicle scheduling problem.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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