In pages 4011-4014, 2008.

doi abstract bibtex

doi abstract bibtex

In this paper we introduce an evolutionary 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. However, because it is a large scale problem, the model must be simplified by relaxing many constraints in order to obtain a near-optimal solution in a reasonable time. We now present an algorithm which takes into account most of the problem constraints and it is able to find better feasible solutions than the approach that has been used until now. © 2008 IEEE.

@inproceedings{10.1109/CEC.2008.4631344, abstract = "In this paper we introduce an evolutionary 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. However, because it is a large scale problem, the model must be simplified by relaxing many constraints in order to obtain a near-optimal solution in a reasonable time. We now present an algorithm which takes into account most of the problem constraints and it is able to find better feasible solutions than the approach that has been used until now. © 2008 IEEE.", year = "2008", title = "EA-MP: An evolutionary algorithm for a mine planning problem", pages = "4011-4014", doi = "10.1109/CEC.2008.4631344", journal = "2008 IEEE Congress on Evolutionary Computation, CEC 2008" }

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