航空公司机队分配问题：二进制和整数规划模型：经典 vs 量子退火
Airline Fleet Assignment Problems with Binary and Integer Programming models: Classical vs Quantum Annealing
AI总结：
本文通过对比经典与量子退火方法，探讨了二进制和整数规划模型在航空公司机队分配问题中的应用及优化效果。
摘要：
本研究强调了量子退火在航空业大规模优化问题中的潜力，展示了其在特定问题规模上的效率，同时承认其当前的局限性。比较分析为先进计算技术的性能提供了有价值的见解，为进一步优化航空业机队分配铺平了道路。
英文摘要：
This research highlights the potential of quantum annealing in tackling large-scale optimization problems within the airline industry,demonstrating its efficiency for certain problem sizes while also acknowledging its current limitations. The comparative analysis provides valuable insights into the performance of advanced computational techniques, paving the way for further advancements in optimizing fleet assignments in the aviation sector.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
