Study of Hybrid Genetic Algorithm Based on Simulated Annealing in Electronic Image Processing

Abstract

For setting up and maintaining a steady image conversion, hybrid genetic algorithm plays a key role in electronic image processing. This paper has researched the simulated annealing on the basis of introduction of the basic genetic algorithm, and analyzed the methods of the simulated annealing algorithm combined with genetic algorithm. Simulation of the simulated annealing hybrid genetic algorithm by a multi-peak functions in electronic image processing, and analyzed its performance. The hybrid genetic algorithm is capable of avoiding the premature convergence, improving the global search ability of the algorithm and the accuracy of the minimum function value in electronic engineering. The results show that the convergence speed can greatly accelerate.