A genetic algorithm approach for scheduling of resources in well-services companies

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
  • DOI -
  • Views 108
  • Downloads 0

How To Cite

Adrian Brezulianu, Lucian Fira, Monica Fira (2012). A genetic algorithm approach for scheduling of resources in well-services companies. International Journal of Advanced Research in Artificial Intelligence(IJARAI), 1(5), 1-6. https://europub.co.uk/articles/-A-135257