Abstract
The problem of aircraft scheduling is a typical scheduling problem, by abstracting the problem into a typical personnel on duty, the support aircraft is regarded as a person who need to be laid off, requiring that at any time, there are sufficient number of support aircraft in the patrol area to ensure the safe flight of special aircraft, but also to meet the constraints. In order to solve the problem of shift discharge efficiently, an adaptive genetic algorithm is proposed. Especially in the algorithm, the two-layer coding method of individual coding is introduced innovatively, in which the first layer of coding represents the take-off airport serial number and the second layer of coding represents the take-off aircraft serial number. The traditional individual coding method directly composes the take-off time into chromosomes, which makes it difficult to know the number of schedules, increases the complexity of calculation, and the direct use of take-off time coding cannot guarantee that the initialized individual meets the constraints, and too much non-feasible generation will seriously reduce the efficiency of iterative evolution. The problem can be effectively avoided by using the two-layer coding method of individual coding.
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Ding, J. (2020). Aircraft Scheduling Problems Based on Genetic Algorithms. In: Pan, L., Liang, J., Qu, B. (eds) Bio-inspired Computing: Theories and Applications. BIC-TA 2019. Communications in Computer and Information Science, vol 1159. Springer, Singapore. https://doi.org/10.1007/978-981-15-3425-6_25
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DOI: https://doi.org/10.1007/978-981-15-3425-6_25
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