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摘要: 提出了一种基于粒子群与模拟退火算法相结合的进化算法.该算法利用模拟退火算法全局收敛性好和粒子群算法收敛速度快等优点，通过交换这两种算法的信息得到最优解.将这种新算法应用于灰度图像的自适应增强，实例计算表明该算法稳定性好，在收敛速度和求解精度方面都优于遗传算法等一些其它进化算法.Abstract: This paper proposed a novel cooperative evolutionary algorithm based on simulated annealing algorithm(SA)and particle swarm optimization(PSO). This new method utilizes the global convergence property of SA and the facility of realization of PSO, and attains an optimal solution by means of the information exchanges of these two kinds of algorithms. Results of experiments showed that the proposed algorithm performs better in convergence speed and precision of solutions than GA,PSO and SA.
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