Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJARAI.2012.010501
Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 1 Issue 5, 2012.
Abstract: In this paper, two examples of resources scheduling in well-services companies are solved by means of genetic algorithms: resources for call solving, people scheduling. The results demonstrate that the genetic algorithm approach can provide acceptable solutions to this type of call solving for scheduling in well-services companies. The suggested approach could be easily extended to various resource scheduling areas: process scheduling, transportation scheduling.
Adrian Brezulianu, Lucian Fira and Monica Fira, “A genetic algorithm approach for scheduling of resources in well-services companies” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 1(5), 2012. http://dx.doi.org/10.14569/IJARAI.2012.010501