Optimisation of underground mine decline development system using genetic algorithm
Upotreba genetskog algoritma u optimizaciji otvaranja podzemnog rudnika sistemom niskopa
Keywords:
underground mine; decline development; optimisation; genetic algorithm
Abstract
When deposit is composed of few ore bodies it is necessary to interconnect them into one integrated system. Suppose the deposit characteristics indicate that decline development system is preferred one. In such environment we treat development of an underground mine as access infrastructure composed of different decline sections. Access infrastructure designing can be treated as spanning the spatial network which will connect all main terminals (points). In our model we defined spatial network by adequate nonlinear constrained objective function representing the cost of mine development and ore haulage. To find the minimum value of the objective function we use Genetic algorithm.References
ALI, F.A. (2014) A novel hybrid genetic differential evolution algorithm for constrained optimization problems. International Journal of Advanced
Computer Science and Applications, 3 (6), pp.6-12.
BRAZIL, M. et al. (2003) Optimising Declines in Underground Mines. Mining Technology. 112 (3), pp.164-170.
BRAZIL, M. et al. (2008) Decline design in underground mines using constrained path optimisation. Mining Technology, 117 (2), pp.93-99.
JOINES, J.A. and HOUCK, C.R. (1994) On the use of non-stationary penalty functions to solve non-linear constrained optimization problems with GA's.
In: Proceedings of the First IEEE Conference on Evolutionary Computation, Orlando, June 1994. New York: IEEE Press, pp.579-584.
SHOPOVA, G.E. and VAKLIEVA-BANCHEVA, G.N. (2006) BASIC–A genetic algorithm for engineering problems solution. Computers and Chemical Engineering, 30 (8), pp.1293-1309.
Computer Science and Applications, 3 (6), pp.6-12.
BRAZIL, M. et al. (2003) Optimising Declines in Underground Mines. Mining Technology. 112 (3), pp.164-170.
BRAZIL, M. et al. (2008) Decline design in underground mines using constrained path optimisation. Mining Technology, 117 (2), pp.93-99.
JOINES, J.A. and HOUCK, C.R. (1994) On the use of non-stationary penalty functions to solve non-linear constrained optimization problems with GA's.
In: Proceedings of the First IEEE Conference on Evolutionary Computation, Orlando, June 1994. New York: IEEE Press, pp.579-584.
SHOPOVA, G.E. and VAKLIEVA-BANCHEVA, G.N. (2006) BASIC–A genetic algorithm for engineering problems solution. Computers and Chemical Engineering, 30 (8), pp.1293-1309.
Published
2017-03-19
How to Cite
Gligorić, Z., Ganić, A., Tokalić, R., & Milutinović, A. (2017). Optimisation of underground mine decline development system using genetic algorithm. Podzemni Radovi, (25), 33-40. https://doi.org/10.5937/podrad1425033G
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