Abstract
Different from existing evolutionary algorithms which usually are implemented in serial computation mode, two improved parallel particle swarm optimization algorithms based on parallel computation structure model are proposed to search the energy efficient operation strategy for a train in railway network. The algorithms are designed and verified using a simulation case. Compared with other methods, these improved parallel PSO-based algorithms have a much better performance in efficiency and may be considered to put into practice.
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