Improvement and application of an adaptive simulated annealing genetic algorithm

The paper analyses the major merits and shortcomings of these two algorithms and proposes an improved adaptive simulated annealing genetic algorithm.The algorithm combines the simulated annealing algorithm with the genetic algorithm and takes advantage of the feature that simulated annealing algorithm has the excellent ability of local searching,to overcome the defect of slow convergence rate and enhance the ability of seeking the global excellent result.The experiment results prove the efficiency of the hybrid algorithm.