Multi-objective optimization for dynamic performance of overhead conductor rail anchor segments based on non-dominated sorting genetic algorithm II and response surface method

The overlapping part between the overhead conductor rail (OCR) anchor seg-ments is called the anchor joint, which is a key component that constrains the dynamic performance of the OCR. When the train passes through the anchor joint, the contact force fluctuates significantly, degrading the current collection quality. This paper carries out the multi-objective optimization of the dynamic performance at the OCR anchor segments by combining the Non-dominated Sorting Genetic Algorithm II (NSGA-II) with the Response Surface Method (RSM), in order to alleviate the severe fluctuations in contact force, thus making a trade-off between the two inconsistent objectives of contact force standard devi-ation (Fδ) and range (Fr). Firstly, the Box-Behnken experimental design method was em-ployed, with the elevation of the first suspension point, cantilever span, anchor joint, and standard span as design variables, and Fδ and Fr as objective functions, to conduct numeri-cal simulation studies on them. Secondly, to enhance the dynamic performance of OCR anchor segments, the NSGA-II was used to optimize the objective functions Fδ and Fr Fi-nally, simulations using the geometric parameters corresponding to the Pareto optimal so-lutions obtained by the NSGA-II showed that, compared to the original design, Fδ was in-creased by 11.18%, and Fr was raised by 35.04%.