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A parallel algorithm based on simulated annealing for land use zoning plans

机译:基于模拟退火的土地利用分区方案并行算法

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There is an increasing demand for tools which support the land use planning process and one of the most complex tasks of this process is the design of a land use zoning map. With this aim an algorithm based on simulated annealing has been designed to optimize the delimitation of land use categories according to suitability and compactness criteria. The high number of plots involved in a land use plan leads to high computational costs. Two parallel versions were implemented. The first one improve the final solution using different parameters in parallel. The second one gets advantage of the spatial parallelism. Results on a real case of study show that the solutions provided by our algorithms are similar to the solution provided by experts, but much faster and with less effort. The parallel versions of the code present good results in terms of the quality of the solution and speed-up.
机译:人们越来越需要支持土地使用规划过程的工具,而该过程中最复杂的任务之一就是设计土地使用分区图。为此目的,已经设计了一种基于模拟退火的算法,以根据适用性和紧凑性标准优化土地利用类别的划界。土地使用计划中涉及的地块数量众多,导致计算成本较高。实现了两个并行版本。第一个并行使用不同的参数来改进最终解决方案。第二个获得空间并行性的优势。实际研究结果表明,我们的算法提供的解决方案与专家提供的解决方案相似,但速度更快且花费更少。该代码的并行版本在解决方案的质量和加速方面均显示出良好的结果。

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