Research of Improved Simulated Annealing Optimization Algorithm Based on the Global Harmony Search Mechanism

摘要

The traditional simulated annealing algorithm adopts serial optimization structure, and it has the defects of slow annealing process, low computational efficiency and so on. On the basis of the traditional simulated annealing algorithm, the improved simulated annealing optimization algorithm with the global harmony search Mechanism is put forward, which can quicken convergence rate and raise search efficiency at the same time of ensuring algorithm to fall in the global optimal solution. In this paper, by using conventional optimization algorithm, traditional simulated annealing algorithm and the improved optimization algorithm to optimize the famous global optimization function, the results show that the improved optimization algorithm has the advantages of high computational efficiency, high computational accuracy, etc.