Optimization of underground haul roads using an evolutionary algorithm

2017-04-14
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.
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.