Indoor positioning method and system based on multi-objective evolutionary algorithm

The invention provides an indoor positioning method and system based on a multi-objective evolutionary algorithm. The method comprises the following steps: acquiring multiple pieces of communication data with a target tag and positioning information of the target tag by adopting an RFID reader; a GRU network model is established, hyper-parameters of the GRU network model are adjusted by adopting a multi-objective evolutionary algorithm to obtain optimal hyper-parameters, and when the hyper-parameters of the GRU network model are adjusted by adopting the multi-objective evolutionary algorithm, self-adaptive neighborhood adjustment is performed once every M generations; training a GRU network model according to the optimal hyper-parameter, the plurality of pieces of communication data and the positioning information of the target tag, so as to predict the positioning information of the to-be-positioned tag through the trained GRU network model; therefore, the hyper-parameter is adjusted through the multi-object