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METHOD AND APPARATUS FOR PROCESSING MULTI-OBJECTIVE OPTIMIZATION MODEL FOR SOLVING TIME-COST TRADE-OFF PROBLEMS IN CONSTRUCTION PROJECTS

机译:解决施工项目中时间成本权衡问题的多目标优化模型的处理方法和装置

摘要

A time-cost optimization modeling method of a building project structurized as step unit activities applying various techniques and resources is provided. To display a time index and a cost index to be optimized as technique and resource functions, the method includes a step of defining a determination flat surface as the minimum extreme point and the maximum extreme point of the cost index and the time index obtained when the construction project progresses by applying the techniques and the resources, a step of mapping the determination flat surface with a standardization index flat surface and calculating one or more optimized values through genetic algorithm based on chromosomes having the techniques and the resources for each unit activity as genes in regard to standardized index points in the standardization index flat surface, and a step of generating one or more construction projects by combining the techniques and the resources corresponding to the value. [Reference numerals] (AA) Start; (BB) End; (S41) Structure a project by step unit activities to which more than one alternative can be applied; (S42) Define a determination space by minimum extreme points of indexes within a basic index space; (S43) Map the determination space onto a standardized index space which is dimensionless and normalized; (S44) Calculate at least one optimized value through a genetic algorithm based on chromosomes having alternatives to each unit activity as genes in regard to standardized index points; (S45) Generate at least one project by combining alternatives corresponding to at least one optimized value
机译:提供了一种建筑工程的时间成本优化建模方法,该工程被构造为应用各种技术和资源的步骤单元活动。为了显示作为技术和资源功能而要优化的时间指标和成本指标,该方法包括以下步骤:将确定平坦表面定义为成本指标的最小极值点和最大极值以及在计算时获得的时间指标。通过应用技术和资源进行建设项目,这一步骤是将确定的平坦表面映射到标准化指标平坦表面,并通过基于具有将每个单位活动的技术和资源作为基因的染色体的遗传算法,通过遗传算法来计算一个或多个优化值关于标准化指标平面中的标准化指标点,以及通过组合技术和与该值相对应的资源来生成一个或多个建设项目的步骤。 [参考数字](AA)开始; (BB)结束; (S41)逐步组织一个项目,可以应用多个备选方案; (S42)通过基本索引空间内的索引的最小极点定义确定空间; (S43)将确定空间映射到无量纲且标准化的标准化索引空间; (S44)基于遗传指标,通过遗传算法计算至少一个最优化值,所述染色体具有与每个单位活性有关的替代物作为关于标准化指标点的基因; (S45)通过组合对应于至少一个优化值的备选来生成至少一个项目

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