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A dual population multi-operator genetic algorithm for flight deck operations scheduling problem 被引量:3
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作者 CUI Rongwei HAN Wei +2 位作者 SU Xichao LIANG Hongyu LI Zhengyang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2021年第2期331-346,共16页
It is of great significance to carry out effective scheduling for the carrier-based aircraft flight deck operations.In this paper,the precedence constraints and resource constraints in flight deck operations are analy... It is of great significance to carry out effective scheduling for the carrier-based aircraft flight deck operations.In this paper,the precedence constraints and resource constraints in flight deck operations are analyzed,then the model of the multi-aircraft integrated scheduling problem with transfer times(MAISPTT)is established.A dual population multi-operator genetic algorithm(DPMOGA)is proposed for solving the problem.In the algorithm,the dual population structure and random-key encoding modified by starting/ending time of operations are adopted,and multiple genetic operators are self-adaptively used to obtain better encodings.In order to conduct the mapping from encodings to feasible schedules,serial and parallel scheduling generation scheme-based decoding operators,each of which adopts different justified mechanisms in two separated populations,are introduced.The superiority of the DPMOGA is verified by simulation experiments. 展开更多
关键词 genetic algorithm project scheduling flight deck operation transfer times of resources
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