The invention discloses an immune
algorithm based GPS induction path optimization method for a large
cable machine. The method comprises the steps of determining a workable range of the
cable machine, selecting initial paths of two cable machines in the workable range, encoding initial path information into an initial
population, setting a maximum iterative frequency, performing affinity evaluation on the initial
population, and screening out high-quality antibodies and low-quality antibodies; performing
cloning operation on the high-quality antibodies and the low-quality antibodies to obtain a cloned
population, and performing immunization and
mutation operations on the rest of antibodies except the high-quality antibodies and the low-quality antibodies to obtain an immunized population; and performing concentration inhibition to obtain a
new population, and outputting a result or returning to the evaluation step. According to the method, the safety, efficiency and
operability of
cable machine operation are comprehensively considered, so that the efficiency is ensured on the premise of enabling the cable
machine to run safely; and the influence between the cable machines is considered and a highly optimized induction path is given, so that the risk of collision between the cable machines is effectively eliminated and the construction efficiency is ensured.