The magnetotactic bacteria multi-objective optimization(MTBMO) algorithm is proposed to solve multiobjective optimization problems. According to the magnetosomes(MTSs) generation operator of the magnetotactic bacteria optimization algorithm(MBOA), a magnetic moment regulation operator of MTSs is proposed to ensure the convergence of the population. Meanwhile, the MTSs replacement operator with chaos mutation is applied to increase the diversity of
the population. By benchmark functions test and comparison with current multi-objective optimization algorithms, it is demonstrated that the MTBMO algorithm is feasible and effective for solving multi-objective optimization problems.