Multiobjective Optimization in Mineral Resources Exploitation: Models and Case Studies

Authors:
Ting Huang;Jinhua Chen
Affiliations:
China University of Geosciences, Wuhan, China 430074;China University of Geosciences, Wuhan, China 430074
Venue:
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Year:
2009

Citing 4
Cited 0

Multi-Objective Optimization Using Evolutionary Algorithms

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Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems

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Muiltiobjective optimization using nondominated sorting in genetic algorithms

Evolutionary Computation
A fast and elitist multiobjective genetic algorithm: NSGA-II

IEEE Transactions on Evolutionary Computation

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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.