Employing the property of ergodicity,randomness and regularity of chaotic movement,a chaos optimization algorithm for the Kepler’s equation was presented and implemented.The time complexity of the method is relatively small and the algorithm is not difficult to realize,which gives advantage in computing efficiency.Comparing with the results of a series of tests and experiments,the numerical results verify the effectiveness of the method for solving the Kepler’s equation.