Abstract: Biogeography-based optimization (BBO) is a new intelligent optimization algorithm, which has better search efficiency than the previous intelligent optimization algorithms, but it also has premature convergence. To solve this problem, biogeography-based optimization algorithm by suing chaotic search (CSBBO) is proposed. Firstly initial populations are generated based on piecewise chaotic map, then BBO global search algorithm is used to get the current optimal solution, finally the global optimum is obtained by using chaotic search. Simulation results show that CSBBO outperforms BBO and previous intelligent optimization algorithms in terms of convergence rate and search precision.