The invention discloses an adaptive CPSO (Chaos Particle Swarm Optimization) integrated navigation satellite selection method, and the method comprises the following steps: 1, extracting visible satellites observed by a receiver at a current moment according to a navigation message and an observation file, numbering the visible satellites, grouping the satellites according to the number of selected satellites, and randomly selecting N combinations from all groups to form an initial population; 2, determining a fitness function for particle evaluation; 3, continuously updating the speed and position of particles through a speed-displacement model in a PSO (Particle Swarm optimization) algorithm till a visible satellite combination meeting a condition is searched. The method is advantageousin that 1, the integrated navigation satellite selection method based on the CPSO quickly achieves the BDS/GPS integrated navigation satellite selection, and the result meets the requirements of the receiver for the positioning precision; 2, the PSO algorithm is a potential neural network algorithm, needs fewer adjustment parameters, and is easy to implement. The PSO is applied in the satellite selection process of the receiver, thereby providing a new idea for the subsequent multi-constellation satellite selection research and application.