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MULTI OBJECTIVE NATIONAL AIRSPACE FLIGHT PATH OPTIMIZATION

机译:多目标国家空间飞行路径的优化

摘要

Systems and methods for optimizing a plurality of competing portfolios of logistical alternatives are disclosed. In one embodiment, where the competing portfolios of logistical alternatives are competing portfolios of flight paths, a method (1100) for optimizing a plurality of competing portfolios of logistical alternatives includes receiving (1102) competing flight path portfolios from one or more flight operation centers. Dominance criteria are applied (1104) to select a subset of the portfolios from the plurality of competing portfolios for further consideration. Multi-objective genetic optimization is applied (1106) to the subset of portfolios to identify an optimal portfolio among the plurality of competing portfolios of logistical alternatives. Where the method (1100) is undertaken by executing computer program code on at least one computer processor, information identifying the logistical alternatives included in the optimal portfolio may be output (1108) on an output device in communication with the computer processor.
机译:公开了用于优化多个后勤选择的竞争性投资组合的系统和方法。在一个实施例中,后勤选择的竞争性投资组合是飞行路径的竞争性投资组合,一种用于优化多个后勤选择性的竞争性投资组合的方法(1100)包括从一个或多个飞行运营中心接收(1102)竞争性飞行路径投资组合。应用优势标准(1104)以从多个竞争投资组合中选择投资组合的子集以供进一步考虑。将多目标遗传优化应用于投资组合的子集(1106),以在多个后勤选择的竞争投资组合中识别最优投资组合。在通过在至少一个计算机处理器上执行计算机程序代码来采取方法(1100)的情况下,可以在与计算机处理器通信的输出设备上输出(1108)标识包括在最佳投资组合中的后勤选择的信息。

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