Parameter Estimation of Stellar Population Synthesis Using A Combined Genetic Algorithm

For the galaxies composed of different kinds of stars, it is important to estimate the parameters of stellar population synthesis quickly and accurately from the massive data of galactic spectra. It is presented in this paper that the combination of the genetic algorithm (GA) with the simulated annealing (SA) algorithm has the complementary advantages of the good global search ability and fast convergence of GA, as well as the strong local search ability of the SA algorithm. In both the speed and accuracy of the parameter estimation of stellar population synthesis, the GA-SA combined algorithm is superior to the single SA algorithm.