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为提高飞机排班质量,在以航空公司成本最小化为目标的基础上,兼顾顾客的满意度(航班准时性)和飞机使用数目最小化目标,建立优化的多目标带有时间窗的飞机排班问题模型。结合算例,对三个目标函数都进行处理后,运用粒子群优化算法进行求解,最终得出模型解的运算结果和时间都在理想范围之内,表明新模型有效可行。该模型的建立有助于有效地解决带有时间窗的飞机排班问题,提高排班工作效率。
In order to improve the quality of aircraft scheduling, based on the objective of minimizing the cost of airlines, we have set up an optimized multi-objective aircraft schedule with time windows based on customer satisfaction (punctuality) and the objective of minimizing the number of aircraft used Class Problem Model. Combining with the examples, all the three objective functions are processed and then solved by the particle swarm optimization algorithm. Finally, the results and the time of the model solution are within the ideal range, which shows that the new model is effective and feasible. The establishment of this model helps to effectively solve the scheduling problem with time windows and improve the efficiency of scheduling work.