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Automatic combination of sub-process simulation results with dataset selection based on fitness under specific scenarios

机译:根据特定情况下的适应性,将子过程仿真结果与数据集选择自动组合

摘要

Techniques are provided for automatic combination of sub-process simulation results with dataset selection based on a fitness under one or more specific scenarios. An exemplary method comprises obtaining an execution map for each sub-process in a sequence that stores results of a given sub-process execution. The results comprise a scenario, a distribution and a distribution fitness value. In response to a user query regarding a target feature and an initial dataset, initial dataset are combined with results selected from the execution map for a first sub-process in the sequence; each available dataset from the previous sub-processes in the sequence is combined with results selected from the execution map for the next sub-process; a probability distribution function (pdf) for the target feature is composed from a combined dataset that represents a simulation of the process and combines results of each of sub-process in the sequence; and the pdf is processed to answer the user query for the target feature.
机译:提供了一种技术,可根据一种或多种特定情况下的适应性,将子过程模拟结果与数据集选择自动组合。一种示例性方法包括以存储给定子过程执行的结果的顺序来获得每个子过程的执行图。结果包括方案,分布和分布适合度值。响应于用户关于目标特征和初始数据集的查询,将初始数据集与从执行图中选择的结果相结合,以用于序列中的第一子过程;将序列中先前子流程中的每个可用数据集与从执行映射中为下一个子流程选择的结果进行组合;由组合数据集构成目标特征的概率分布函数(pdf),该组合数据集表示过程的模拟,并按顺序组合每个子过程的结果;并处理pdf以回答用户对目标特征的查询。

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