Resumen

BELETE-FUENTES, Orlando; ZAMORA-MATAMOROS, Rafael  y  CABALLERO-ECHEVARRIA, Daimel. A genetic algorithm to solve one mining selection problem. Dyna rev.fac.nac.minas [online]. 2017, vol.84, n.203, pp.257-262. ISSN 0012-7353.  https://doi.org/10.15446/dyna.v84n203.65566.

Based on the decision to automate the solution of an optimization problem related to the selection of an "N" number of geological exploration wells in a reservoir, which reflects the general characteristics of the well and having the mathematical models created for that purpose, arises the need to look for some alternative that allows to obtain the solutions of the raised problem. The mathematical models created generate a system formed by an objective function, several constraints in the form of inequalities and an additional restriction, in the form of equality: a classic problem of selection. This type of problem has solutions of non-polynomial computational complexity; for this reason, instead of implementing complex algorithms, it was decided to design an automated tool based on the use of genetic algorithms. An automated application was created for the solution of the problem of selection of a described mining sample, being able to implement a low complexity computational solution.

Palabras clave : Genetic algorithm; mathematical modeling; mining, programming..

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