%0 Journal Article
%T A Hybrid Genetic Algorithm to Maximize Net Present Value of Project Cash Flows in Resource Constrained Project Scheduling Problem with fuzzy parameters
%J Scientia Iranica
%I Sharif University of Technology
%Z 1026-3098
%A Fathallahi, Fatemeh
%A Najafi, Amir Abbas
%D 2016
%\ 08/01/2016
%V 23
%N 4
%P 1893-1903
%! A Hybrid Genetic Algorithm to Maximize Net Present Value of Project Cash Flows in Resource Constrained Project Scheduling Problem with fuzzy parameters
%K Discounted Cash Flows
%K Net Present Value
%K Fuzzy sets
%K uncertainty
%K genetic algorithms
%R 10.24200/sci.2016.3935
%X This 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.
%U https://scientiairanica.sharif.edu/article_3935_11a2efdc6248fd20edd5a326c183a48d.pdf