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.