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A genetic algorithm for resource investment problem with discounted cash flows

Najafi, A. A ; Sharif University of Technology | 2006

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  1. Type of Document: Article
  2. DOI: 10.1016/j.amc.2006.05.118
  3. Publisher: 2006
  4. Abstract:
  5. A resource investment problem with discounted cash flows is a project scheduling problem in which the availability levels of the resources are considered decision variables and the goal is to find a schedule and resource requirement levels such that the net present value of the project cash flows optimizes. In this paper, we present a genetic algorithm to solve this problem. We explain the elements of the algorithm such as chromosome structure, fitness function, crossover, mutation, and local improvement operations and solve more than 220 problems with known optimal solutions to evaluate the performance of the proposed algorithm. The results of the experimentation are quite satisfactory. © 2006 Elsevier Inc. All rights reserved
  6. Keywords:
  7. Functions ; Optimization ; Problem solving ; Net present value ; Project scheduling ; Resource investment ; Genetic algorithms
  8. Source: Applied Mathematics and Computation ; Volume 183, Issue 2 , 2006 , Pages 1057-1070 ; 00963003 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0096300306006412