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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
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 Lecture Notes in Computer Science (Vol. 3503, pp. 328–340). Springer Verlag. https://doi.org/10.1007/11427186_29
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