Application of genetic techniques to the planning of railway track maintenance work

Track maintenance work was planned using genetic algorithm (GA) and genetic programming (GP) methods, with profit as the optimisation criteria. The results were compared with an existing deterministic technique. It was found that the GP method gave the best results, with the GA method giving good results for a short section and poor results for a long section of track.