论文标题
基于逻辑的弯曲器分解野火
Logic-Based benders Decomposition for Wildfire Suppression
论文作者
论文摘要
我们研究在燃烧景观中找到抑制火灾资源的问题,以最大程度地减少燃烧的总面积。景观被建模为有向图,带有代表景观区域的节点,而代表邻接关系的弧。使用最小旅行时间原理对火差进行建模。我们提出了一种非线性整数编程公式,并利用基于逻辑的弯曲器分解的精确解决方案方法。我们基准了反对混合整数程序的方法,并从文献中进行了迭代的本地搜索元数据。我们能够解决具有挑战性的实例,以在合理的时间内证明最佳性。
We study the problem of locating fire suppression resources in a burning landscape in order to minimise the total area burned. The landscape is modelled as a directed graph, with nodes representing regions of the landscape, and arcs representing adjacency relationships. The fire spread is modelled using the minimum travel time principle. We propose a non-linear integer programming formulation and an exact solution approach utilising logic-based Benders decomposition. We benchmark the approach against a mixed integer program and an iterated local search metaheuristic from the literature. We are able to solve challenging instances to proven optimality in a reasonable amount of time.