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A metaheuristic approach for location of gas stations in a metropolitan area

机译:在大都市区加油站位置的元启发式方法

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The paper presents a metaheuristic model, which is developed to determine the location of gas stations in the state of Kuwait. The variables of this study cover requirements to high demand areas such as commercial areas, businesses as well as safety and environmental factors translated into minimum distances to sensitive entities and receptors. The developed methodology combines GIS with analytic hierarchy process (AHP) to weigh and overlay layers of interest on the base map of urban and suburban areas in Kuwait. The output on this process is a suitability map that contains feasible locations for future gas stations sites. Feasible locations are then fed into an optimisation routine to obtain the optimal sites. The methodology includes international and national standards and regulation including minimum allowable distance to existing gas stations, natural gas distributors, fire stations, educational institutions, governmental agencies and ministries, airport, residential areas, commercial areas, industrial areas, road network and others. 199 feasible locations were obtained in the State of Kuwait that abide with all regulation while satisfying demand of businesses and residents. The optimum was obtained from these feasible solutions by using an optimisation routine.
机译:本文提出了一种元启发式模型,用于确定科威特州加油站的位置。这项研究的变量涵盖了对高需求区域(如商业区域,企业以及安全和环境因素)的需求,这些需求转化为与敏感实体和受体之间的最小距离。所开发的方法将GIS与层次分析法(AHP)相结合,可以在科威特城市和郊区的基础地图上对感兴趣的图层进行加权和覆盖。此过程的输出是适合性地图,其中包含未来加油站站点的可行位置。然后将可行的位置输入到优化例程中,以获得最佳位置。该方法包括国际和国家标准和法规,包括到现有加油站,天然气分销商,消防局,教育机构,政府机构和政府部门,机场,居民区,商业区,工业区,道路网等的最小允许距离。在科威特州获得了199个可行的地点,这些地点符合所有法规,同时满足企业和居民的需求。通过使用优化例程,从这些可行的解决方案中获得了最佳值。

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