摘要翻译：
利用基于约束的局部搜索，我们有效地建立了模型，并有效地解决了在满足部分欧洲空域容量约束的情况下，平衡部分欧洲空域的交通需求的问题。部分空域的交通需求是每小时计划进入该空域的航班数，其容量是空中交通管制员工作的上限。目前，我们允许的需求与容量平衡的唯一形式是地面等待，即改变尚未空中飞行的起飞时间。对预计的2030年欧洲飞行计划的实验表明，这种第一种形式的需求-容量平衡已经是可行的，不会导致太多的总延误，它可以导致明显更好的需求-容量平衡。
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英文标题：
《Dynamic Demand-Capacity Balancing for Air Traffic Management Using
  Constraint-Based Local Search: First Results》
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作者：
Farshid Hassani Bijarbooneh, Pierre Flener, Justin Pearson
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最新提交年份：
2009
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
  Using constraint-based local search, we effectively model and efficiently solve the problem of balancing the traffic demands on portions of the European airspace while ensuring that their capacity constraints are satisfied. The traffic demand of a portion of airspace is the hourly number of flights planned to enter it, and its capacity is the upper bound on this number under which air-traffic controllers can work. Currently, the only form of demand-capacity balancing we allow is ground holding, that is the changing of the take-off times of not yet airborne flights. Experiments with projected European flight plans of the year 2030 show that already this first form of demand-capacity balancing is feasible without incurring too much total delay and that it can lead to a significantly better demand-capacity balance.
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PDF链接：
https://arxiv.org/pdf/0910.1239