In this paper, the quantum behaved particle swarm optimization algorithm(QPSO) is improved, and the Benchmark function is used to test the improved Quantum behaved particle swarm optimiaztion algorithm(CQPSO). The results show that the improved quantum behaved particle swarm algorithm has better convergence. The improved quantum behaved particle swarm optimization algorithm was used to optimize the cooling water system of the central air conditioning system. The results show that the optimal operating point of the cooling water system is changed with the temperature of the wet bulb in different environment.