Genetic algorithm was explored as an efficient alternative compared to the global optimizers due to its computational advantages. ![]() Investigating the shortest path for a haul road using evolutionary optimization, a novel contribution was made in underground mine planning. ![]() This study aims to provide an algorithmic solution to this major design problem. It is also important that the method can avoid structural defect zones (faults, joints) or any kind of undesired regions. ![]() Therefore, a new methodology is required to obtain the optimal haul road path considering kinematic constraints like minimum turning radius and maximum grade. However, determination of the optimum path without violating navigation constraints in complex underground networks may be challenging even for the leading design specialists. This is sufficient for simple mine layouts. ![]() However, the most common method to design the main haul road is to rely on the empirical knowledge of skilled mine design experts. Development and operating costs are predominantly controlled by the haul road length. All types of underground mine access serve as permanent openings to transfer men and extracted material throughout the life of an operation.
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