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A tabu search approach to automated map generalisation

机译:一种禁忌搜索方法,用于自动地图综合

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Displaying map data at scales smaller than its source can result in objects that are either too small to be seen or too close to each other to be distinguishable. Furthermore, graphic conflicts become more likely when certain map symbols are no longer a true scale representation of the feature they represent. Map generalisation includes the processes by which such conflicts are resolved. The map generalisation technique presented here is exponential in the problem size and is, as such, combinatorially large (NP-hard). We show how the tabu search metaheuristic was used to resolve spatial conflict between objects after scaling, achieving near optimal solutions within practical time constraints.
机译:以小于其来源的比例显示地图数据可能会导致物体太小而看不见,或者彼此之间太近而无法区分。此外,当某些地图符号不再是其所表示要素的真实比例表示时,图形冲突也变得更加可能。地图概括包括解决此类冲突的过程。这里介绍的地图泛化技术在问题规模上是指数级的,因此组合起来很大(NP困难)。我们展示了禁忌搜索元启发法在缩放后如何解决对象之间的空间冲突,并在实际时间限制内实现了接近最佳的解决方案。

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