This thesis aims to expose the effectiveness of scheduling techniques to get to the right investment channel through the analysis and optimization of the Internal Rate of Return (IRR) and the Net Present Value (NPV). Optimizing, creating and analyzing project scheduling and various financial metrics will try to give an indication for the assessment of investment opportunities. The performance of various algorithms created and used for this thesis, through statistical techniques will be evaluated, demonstrating the improvements and characteristics of the various proposals and giving a broader and financially innovative perspective of what project scheduling is today.