Optimization of underground haul roads using an evolutionary algorithm

Date

2017-04-14

Author

Yardımcı, Ahmet Güneş
Karpuz, Celal

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Underground mine haul road carries the main traffic of mining activities. Composed of straight and spiral sections with a fixed maximum gradient and minimum turning radius constraints, haulage road aims to connect the underground mine portal to the production levels with a navigable path. Most widely, haulage path is designed by skilled mine design experts. Considering haul road design controls the initial capital investment and operating cost parameters, an optimum design that minimizes the path length is obviously desirable. Designing an optimum path satisfying the kinematical constraints of a mine car for the sake of navigability is a complicated topological problem, especially in complex underground networks. This paper presents a genetic algorithm implementation for predicting the near optimum navigable haul road. The path predicted by the algorithm is compared with a manually designed underground mine haul road and improvement in terms of length are described.

Subject Keywords

Genetic algorithm, Haul road path optimization, Underground mining

URI

https://hdl.handle.net/11511/83543

Conference Name

25th International Mining Congress of Turkey: New Trends in Mining, IMCET(2017)

Collections

Department of Mining Engineering, Conference / Seminar

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Citation Formats

A. G. Yardımcı and C. Karpuz, “Optimization of underground haul roads using an evolutionary algorithm,” Antalya, Türkiye, 2017, p. 203, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/83543.