To solve the shortcomings existing in chemical reaction optimization algorithm, ACRO-PSO algorithm with balanced global search and local search ability is proposed, which combines both advantages of adaptive chemical reaction optimization (ACRO) and particle swarm optimization (PSO). Based on ACRO algorithm domain operator, introduce the global operator of PSO algorithm. Moreover, a weight factor is added to control the ratio of local search and global search, the existing time of the decomposition reaction and combination reaction are modified and a standard test function is adopted to carry out performance analysis for ACRO-PSO. The simulation results show that the ACRO-PSO algorithm can effectively solve the problem to be optimized.