Dealing with Uncertainty in the MRCPSP/Max Using Discrete Differential Evolution and Entropy

In this paper, we investigate the characterization of MRCPSP/max under uncertainty conditions and emphasize managerial ability to recognize handle positively disruptive events. This proposition is then demonstrated using entropy approach find events response time intervals. The problem solved a resilient characteristic three-stage procedure gauged by schedule robustness adaptivity; resulting absorbs impact an unexpected event without rescheduling during execution. use differential evolution algorithm, known as DDE, in discrete manner proposed evaluated against best optima (BKO). Our findings indicate DDE effective overall; moreover, compared BKO for every stage, most significant difference that stability solutions provided framework proves be sufficiently robust when practitioners add times at certain range levels, case from 8% 15%.