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首页> 外文期刊>The international journal of construction management >Optimizing Material Hoisting Operations And Storage Cells In Single Multi-storey Tower Block Construction By Genetic Algorithm
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Optimizing Material Hoisting Operations And Storage Cells In Single Multi-storey Tower Block Construction By Genetic Algorithm

机译:用遗传算法优化单个多层塔楼建筑中的物料提升操作和存储单元

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摘要

During construction,materials have to be stored properly and transported within a site area or even different storeys in a high-rise structure.The total costs for storage and transportation are prime concerns.Optimizing material storage locations so as to pay the least transportation costs induced during the project period is a typical construction management problem.In this paper,a genetic algorithm (GA) approach to optimize the vertical hoisting and storage layout for a high-rise multi-storey tower building in confined sites is studied.Costs include the storage and distribution costs which are calculated in terms of vertical transportation,horizontal movements and then vertical distribution expenses.The sum of these costs is set as the objective function for optimization.Since it is a typical multiple-level warehouse layout and distribution problem,which is NP-hard in nature,an effective assignment system with GA approach is applied.An example of 10 types of materials to be stored and distributed in a 30-storey building is used as a numerical example to illustrate the model development.The results also demonstrate the effectiveness of applying the GA in minimizing the total transportation costs that verify the practical application of the proposed approach.
机译:在施工过程中,必须妥善存储物料并在现场区域甚至高层结构的不同楼层中进行运输。存储和运输的总成本是首要考虑因素。优化材料存储位置,以使产生的运输成本最小在项目期间,是一个典型的施工管理问题。本文研究了一种遗传算法(GA)方法,用于优化密闭场地中高层多层塔式建筑的垂直提升和存储布局。成本包括存储根据垂直运输,水平移动以及垂直分销费用计算的成本和分销成本。这些成本之和被设置为优化的目标函数。由于这是一个典型的多层仓库布局和分销问题,因此本质上是NP-hard,应用了一种有效的GA方法分配系统。以10种类型的物料为例d分布在一个30层高的建筑中,作为一个数值示例来说明模型的开发。结果还证明了应用遗传算法在使总运输成本最小化方面的有效性,从而验证了该方法的实际应用。

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