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Train Optimization of energy manipulation


n, the actual running distance 19999.8m, energy 511.04kw · h. In this line , the use of Festival operation strategy , the train running time 20.5263min, running from 20000.0m, energy consumption 692.21kW · h; target speed based on the operating strategy , the train running time 24.9905min, Run away from 19999.9m, energy consumption 652.52kW · h. Thus ,[link widoczny dla zalogowanych], the use of genetic algorithm optimization strategy for a typical sub- interval method can produce good energy saving effect . Science and Technology and Engineering, Volume 9 speed from Figure 3 Figure 4 Conclusion In this paper, a fixed running time of train operation under the energy control optimization problem , combined with manipulation of the typical sequence of sub- interval optimization using genetic algorithms, a simulation of the train . Through the simulation , given the speed of the train running from the curve to verify the effectiveness of optimization algorithms .