Abstract
Before promising locations become productive oil wells, it is often necessary to complete drilling activities at these locations. The scheduling of such activities must satisfy several conflicting constraints and attain a number of goals. Here, we describe a Greedy Randomized Adaptive Search Procedure (GRASP) for the scheduling of oil well drilling activities. The results are compared with those from a well accepted constraint programming implementation. Computational experience on real instances indicates that the GRASP implementation is competitive, outperforming the constraint programming implementation.
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© 2005 Springer-Verlag Berlin Heidelberg
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Pereira, R.A., Moura, A.V., de Souza, C.C. (2005). Comparative Experiments with GRASP and Constraint Programming for the Oil Well Drilling Problem. In: Nikoletseas, S.E. (eds) Experimental and Efficient Algorithms. WEA 2005. Lecture Notes in Computer Science, vol 3503. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427186_29
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DOI: https://doi.org/10.1007/11427186_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25920-6
Online ISBN: 978-3-540-32078-4
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