Abstract: The cable shovel-truck process has the advantages of flexibility,strong climbing ability,suitable for selective mining,fast infrastructure construction and high mining intensity,etc. Due to the advantages of flexibility and unre- stricting by terrain conditions,which are unreplaceable by other mining methods,it has been widely used in China’ s open pit mines. However,over the years,because of the limits of economic factors such as heavy truck equipment over- haul,maintenance,and high fuel costs,the transportation economy of the cable shovel-truck technology has caused a lot of concerns and derived a series of related research topics,such as the transportation system parameter optimization,the route optimization and stripping flow planning,etc. This kind of optimization research is generally based on the empirical manual routing scheme,and takes the reduction of transport distance and the control of road transport work as the optimization objectives. It is easy to ignore the influence of the development of transport road on the actual opti- mization problem. The conventional route selection method of open-pit mine development and transportation system mainly relies on the trial and error of manual experience to make the route selection plan. This method has strong sub- jectivity,low efficiency and is difficult to optimize and control the route cost. With the exploitation of stripping and mining projects,the economic rationality of truck transport system is easily limited. In order to solve this problem, based on JONG theory of inter-city highway route selection,a phased layout of route selection profile considering the alignment characteristics of open-pit haul route is introduced in this paper,and the algebraic expression of the position of the route pile point and the calculation method of alignment constraint are given based on the geometric characteris- tics of the route. The cost accounting method of road in the life cycle is studied. The cost calculation method is presen- ted and the optimal route selection model is built based on cost optimization. Finally,in order to further improve the convergence ability and solving efficiency of genetic algorithm,bio-inspired NN is introduced into the path gene enco- ding process to realize the heuristic modification of coding. The experimental results show that comparing with the ex- isting route schemes,the optimized route costs are lower. The algorithm effectively solves the routing selection problem of haul system. This result demonstrates the algorithm model in this paper is feasible and effective for solving such kind of route selection problem.