Abstract：The self-implemented testing system is used to simulate the pantograph catenary system running status.Experiments on the grind between the leaching metal carbon slide and the copper wire are carried out to study the numerical relationships between the contact pressure load and the current efficiency,the current-carrying stability factor and the wear rate in the case of the given currents and speeds.The immune genetic algorithm is used to optimize the Elman dynamic feedback neural network (IGA-ENN) to forecast the input and output model.The optimization for the pressure load based on the adaptive weight particle swarm optimization algorithm (AW-PSO) can provide the optimal Pareto solution front.Finally,the multi-objective optimization problem is transferred into the single-objective problem to determine the corresponding optimal pressure load.
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2015, Vol. 30 
