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    • 10. 发明申请
    • MAINTAINING DIVERSITY IN MULTIPLE OBJECTIVE FUNCTION SOLUTION OPTIMIZATION
    • 在多目标函数解决方案优化中维持多样性
    • US20150379075A1
    • 2015-12-31
    • US14729517
    • 2015-06-03
    • International Business Machines Corporation
    • Satoshi HaraTetsuro MorimuraHidemasa MutaRaymond H.P. Rudy
    • G06F17/30
    • G06F17/11G06N3/126
    • A computer performs searching in order to optimize a plurality of input parameters. Each of the input parameters is input to a time-series trial process. The computer receives a plurality of input parameters and performs a trial process on each of the plurality of input parameters. The computer then calculates an evaluation value of the trial process performed on each of the plurality of input parameters and calculates a degree of similarity among a plurality of trial processes based on a feature value. Each of the feature values is extracted from the trial process performed on a corresponding one of the plurality of input parameters. The computer updates the plurality of input parameters based on the evaluation value of the trial process calculated for each of the plurality of input parameters and the degree of similarity among the plurality of trial processes.
    • 计算机执行搜索以优化多个输入参数。 每个输入参数被输入到时间序列试验过程。 计算机接收多个输入参数并针对多个输入参数中的每一个执行试用处理。 计算机然后计算对多个输入参数中的每一个执行的试用处理的评估值,并且基于特征值计算多个试验处理之间的相似程度。 从对所述多个输入参数中的相应一个输入参数执行的试用处理中提取每个特征值。 计算机基于针对多个输入参数中的每一个计算出的试用处理的评估值和多个试验处理之间的相似程度来更新多个输入参数。