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    • 1. 发明申请
    • SYSTEMS AND METHODS FOR PRIORITIZING FUNDING OF PROJECTS
    • 用于优化项目资金的系统和方法
    • US20140278695A1
    • 2014-09-18
    • US13837782
    • 2013-03-15
    • THE AEROSPACE CORPORATION
    • Patrick L. SmithMatthew Phillip Ferringer
    • G06Q10/06
    • G06Q10/06313
    • Systems and methods for providing a prioritization of the focus and allocation of available resources and/or funding for due diligence analyses of a variety of candidate projects competing for limited funding are disclosed. Various methods may also determine a confidence level metrics associated with the information and/or estimates associated with the candidate projects. Evolutionary algorithms may be applied to perform multi-objective optimization of objectives based, at least in part, on currently available information and/or estimates associated with the candidate projects. A priority score, for the purpose of allocating due diligence attention and resources to increase confidence levels in assumptions associated with candidate projects, may be determined for a particular project based, at least in part, on the current confidence level associated with that particular project and the percentage of non-dominated projects within which the particular project is included. The optimization may be performed multiple times, such as once for every stakeholder that may have provided information and/or estimates associated with the candidate projects, to identify a plurality of non-dominated solutions to the optimization problem.
    • 披露了为有限资金竞争的各种候选项目提供优先重点分配现有资源和/或资金进行尽职调查分析的系统和方法。 各种方法还可以确定与候选项目相关联的信息和/或估计相关联的置信水平度量。 可以至少部分地基于与候选项目相关联的当前可用信息和/或估计来应用进化算法来执行目标的多目标优化。 为了分配尽职调查注意力和资源以提高与候选项目相关的假设的置信水平,优先分数可以基于至少部分地基于与该特定项目相关联的当前置信度来确定特定项目, 特定项目所在的非主导项目的百分比。 可以多次执行优化,例如对于可能提供与候选项目相关联的信息和/或估计的每个利益相关者,一次,以识别优化问题的多个非主导解决方案。
    • 2. 发明授权
    • Systems and methods for prioritizing funding of projects
    • US09953284B2
    • 2018-04-24
    • US13837782
    • 2013-03-15
    • THE AEROSPACE CORPORATION
    • Patrick L. SmithMatthew Phillip Ferringer
    • G06Q10/06
    • G06Q10/06313
    • Systems and methods for providing a prioritization of the focus and allocation of available resources and/or funding for due diligence analyses of a variety of candidate projects competing for limited funding are disclosed. Various methods may also determine a confidence level metrics associated with the information and/or estimates associated with the candidate projects. Evolutionary algorithms may be applied to perform multi-objective optimization of objectives based, at least in part, on currently available information and/or estimates associated with the candidate projects. A priority score, for the purpose of allocating due diligence attention and resources to increase confidence levels in assumptions associated with candidate projects, may be determined for a particular project based, at least in part, on the current confidence level associated with that particular project and the percentage of non-dominated projects within which the particular project is included. The optimization may be performed multiple times, such as once for every stakeholder that may have provided information and/or estimates associated with the candidate projects, to identify a plurality of non-dominated solutions to the optimization problem.