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PSO-Based Optimal Strategy Study of Train’s Energy Efficient Operation under Disturbed Condition

Instead of changeable chromosome length genetic algorithm, a new method based on particle swarm optimization algorithm is proposed to search a train’s energy efficient operation strategy under running disturbance condition in railway network. The algorithm is designed and validated using a referenced simulation case. Compared with other methods, it demonstrates this new PSO-based algorithm has a better result in efficiency and may be considered to use in practice.