Scientia Iranica

Scientia Iranica

A Hybrid Genetic Algorithm to Maximize Net Present Value of Project Cash Flows in Resource Constrained Project Scheduling Problem with fuzzy parameters

Authors
Fatemeh Fathallahi
Amir Abbas Najafi
Faculty of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran
10.24200/sci.2016.3935
Abstract
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.
Keywords
Discounted Cash Flows
Net Present Value
Fuzzy sets
uncertainty
genetic algorithms
Scientia Iranica
Volume 23, Issue 4 - Serial Number 4
Transactions on Industrial Engineering (E)
August 2016
Pages 1893-1903

  • Receive Date 18 August 2015
  • Accept Date 27 July 2017