The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Apr. 24, 2018
Filed:
Mar. 15, 2013
The Aerospace Corporation, El Segundo, CA (US);
Patrick L. Smith, Arroyo Grande, CA (US);
Matthew Phillip Ferringer, Round Hill, VA (US);
The Aerospace Corporation, El Segundo, CA (US);
Abstract
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.