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Figshare2023-10-08 更新2026-04-28 收录
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https://figshare.com/articles/dataset/_b_MNSGA-II_algorithm_and_its_application_for_multi-objective_optimization_analysis_of_under-vehicle_equipment_b_/24267274
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Considering the optimization design of traction transformers under complex operating conditions is an important topic in the research of rail transit equipment. This paper proposes an MNSGA-II algorithm that combines the PSO-BP neural network to optimize and design the structure of traction transformers, taking into account static strength, modal, mass, and vibration fatigue.
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2023-10-08
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