EA-MP: An evolutionary algorithm for a mine planning problem

In this paper we introduce an evolutionary algorithm for solving a copper mine planning problem. In the last 10 years this realworld 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. We present a comparison with other metaheuristics.

• Type: Conference
• Year: 2008
• Where: CEC
• Authors: María-Cristina Riff, Teddy Alfaro, Xavier Bonnaire, Carlos Grandón
• Keywords: Artificial Intelligence, CEC 2008, Large Scale Problem, Linear Integer Programming, Realworld Problem