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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.
A genetic algorithm approach for scheduling of resources in well-services companies
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.
Keywords: Genetic algorithm; optimization; well-services.
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
@article{Brezulianu2012,
title = {A genetic algorithm approach for scheduling of resources in well-services companies},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2012.010501},
url = {http://dx.doi.org/10.14569/IJARAI.2012.010501},
year = {2012},
publisher = {The Science and Information Organization},
volume = {1},
number = {5},
author = {Adrian Brezulianu and Lucian Fira and Monica Fira}
}
