Study of Hybrid Genetic Algorithm Based on Simulated Annealing
基于模拟退火的混合遗传算法研究

Taking a modified Simulated Annealing algorithm as a genetic operator realized the combination of the local searching ability of SA and global searching ability of GA. A new hybrid algorithm of Genetic Simulated Annealing had been designed with dynamic probability of crossover and mutation, and tested by a nonlinear function optimization. The results indicated the hybrid algorithm can improve significantly the efficiency of GA for solving nonlinear optimization.