A genetic algorithm approach for scheduling of resources in well-services companies
Journal Title: International Journal of Advanced Research in Artificial Intelligence(IJARAI) - Year 2012, Vol 1, Issue 5
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.
Authors and Affiliations
Adrian Brezulianu, Lucian Fira, Monica Fira
Keywords
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- EP ID EP135257
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