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Published in:
2009 | OriginalPaper | Chapter
A New Strategy Based on GRASP to Solve a Macro Mine Planning
Authors : María-Cristina Riff, Eridan Otto, Xavier Bonnaire
Published in: Foundations of Intelligent Systems
Publisher: Springer Berlin Heidelberg
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In this paper we introduce a greedy randomized adaptive search procedure(GRASP) algorithm for solving a copper mine planning problem. In the last 10 years this real-world problem has been tackled using linear integer programming and constraint programming. Our mine planning problem is a large scale problem, thus in order to find an optimal solution using complete methods, the model was simplified by relaxing many constraints. We now present a Grasp algorithm which works with the complete model and it is able to find better feasible near-optimal solutions, than the complete approach that has been used until now.