An adaptative bacterial foraging optimization algorithm for solving the MRCPSP with discounted cash flows

In this paper, a metaheuristic solution algorithm for solving the multi-mode resource-constrained project scheduling problem (MRCPSP) with discounted cash flows (MRCPSPDC) is proposed. This consists of determining schedule such that completed, maximizing project’s net present value (NPV) while complying delivery deadline. The adaptative bacterial foraging optimization (ABFO) variation original (BFO), which nature-inspired algorithm. We implement version chemotactic operator based on double justification activities given flow. has been tested in PSPLIB and MMLIB benchmark datasets available literature promising results. Our ABFO shows excellent performance all instances provides suitable solutions MRCPSP NPV.