Abstract
Economic models for mineral resources assessment are transferring from single objective to multiple objectives nowadays. However, common approaches to solve these multi-criteria problems are still staying in single-objective methods, by combining all objective functions into a single functional form, but such methods can only obtain one solution. In this paper, NSGA-II,a multiobjective optimization evolutionary algorithm, is adopted to optimize multiple objectives of mineral resource exploitation.Two case study prove that NSGA-II can offer multiple solutions and be irrelevant with starting point, moreover, results by NSGA-II are better than references.
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Huang, T., Chen, J. (2009). Multiobjective Optimization in Mineral Resources Exploitation: Models and Case Studies. In: Cai, Z., Li, Z., Kang, Z., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2009. Lecture Notes in Computer Science, vol 5821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04843-2_33
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DOI: https://doi.org/10.1007/978-3-642-04843-2_33
Publisher Name: Springer, Berlin, Heidelberg
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