Research on Train Traction Optimization Based on Heuristic Genetic Algorithm
Based on the previous research of the research group, aiming at the special section which is difficult to be optimized by the conventional algorithm, a four-step optimization strategy of energy saving operation based on heuristic genetic algorithm is proposed. First of all, the mathematical model of train operation can be established by the second law of motion in Newtonian mechanics; Then, genetic algorithm based on real-coded train handle is adopted to solve the energy-saving optimization problem under the condition of time and velocity constraints; Finally, the simulation experiment is carried out, The Matlab algorithm can adapt well to all kinds of line conditions and realize the rapid optimization of the speed curve so as to finally achieve the purpose of reducing train traction energy consumption.