Sharif University of TechnologyScientia Iranica1026-309823420160801A Hybrid Genetic Algorithm to Maximize Net Present Value of Project Cash Flows in Resource Constrained Project Scheduling Problem with fuzzy parametersA Hybrid Genetic Algorithm to Maximize Net Present Value of Project Cash Flows in Resource Constrained Project Scheduling Problem with fuzzy parameters18931903393510.24200/sci.2016.3935ENFatemeh FathallahiFaculty of Industrial Engineering, K.N. Toosi University of Technology, Tehran, IranAmir Abbas NajafiFaculty of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran0000-0001-5671-0827Journal Article20150818This paper studies a specific resource constrained project scheduling problem under uncertainty. To do so, the problem is investigated in fuzzy environment and the goal is to maximize the net present value of the project cash flows. The problem is first mathematically formulated. Then, a hybrid Genetic Algorithm is proposed and tuned to solve this NP-hard problem. The performance of the proposed algorithm is evaluated with comparing two well-known metaheuristic algorithms through a set of instances. Finally, comprehensive computational results are illustrated and the results are analyzed and discussed.https://scientiairanica.sharif.edu/article_3935_11a2efdc6248fd20edd5a326c183a48d.pdf