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An Intelligent GIS-Based Spatial Zoning System with Multiobjective Hybrid Metaheuristic Method

机译:基于智能GIS的多目标混合元启发式空间分区系统

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This paper presents a multiobjective hybrid metaheuristic approach for an intelligent spatial zoning model in order to draw territory line for geographical or spatial zone for the purpose of space control. The model employs a Geographic Information System (GIS) and uses multiobjective combinatorial optimization techniques as its components. The proposed hybrid metaheuristic consists of the symbiosis between tabu search and scatter search method and it is used heuristically to generate non-dominated alternatives. The approach works with a set of current solution, which through manipulation of weights are optimized towards the non-dominated frontier while at the same time, seek to disperse over the frontier by a strategic oscillation concept. The general procedure and its algorithms are given as well as its implementation in the GIS environment. The computation has resulted in tremendous improvements in spatial zoning.
机译:本文提出了一种用于智能空间分区模型的多目标混合元启发式方法,目的是为了控制空间而绘制地理或空间区域的界线。该模型采用了地理信息系统(GIS),并使用多目标组合优化技术作为其组成部分。所提出的混合元启发式方法包括禁忌搜索和散布搜索方法之间的共生关系,并被启发式地用于生成非主导的替代方法。该方法与一组当前解决方案一起工作,该解决方案通过权重控制朝着非支配的边界优化,同时,通过策略性振荡概念寻求分散边界。给出了通用程序及其算法,以及在GIS环境中的实现。计算已导致空间分区的巨大改进。

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