| 摘要 |
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. |
| 主权项 |
1. A method, comprising:
receiving, by the one or more processors, an indication of one or more candidate projects, one or more sets of estimates of metrics associated with the one or more candidate projects, and one or more objectives; performing, by the one or more processors and based at least in part on the one or more sets of estimates of metrics, an evolutionary algorithm to optimize to the one or more objectives; identifying, by the one or more processors and based at least in part on performing the evolutionary algorithm, a plurality of non-dominated solutions; determining, by the one or more processors, a percentage (P) of the plurality of non-dominated solutions in which each of the one or more candidate projects are included; identifying, by the one or more processors and based at least in part on the one or more sets of estimates, a respective confidence level (C) corresponding to each of the one or more candidate projects; generating, by the one or more processors and based at least in part on the respective percentage (P) and the respective confidence level (C) corresponding to each of the one or more candidate projects, a respective priority score corresponding to each of the one or more candidate projects; providing, by the one or more processors, an indication of each of the respective priority scores corresponding to each of the one or more candidate projects. |
