Analysis of the results obtained by intelligent method for project portfolio scheduling

A key factor at the project portfolio scheduling is about aiming at a pool of projects due the multi-objective environment in which modern organizations operate. Recent works proposed multi-objective models that are close to real world projects and they are based on intelligent methods. This work is an evaluation of this approach. More specifically, selected research questions are statistically tested, while some of them have been answered positively, proving the performance of the overall solving method.