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.

Key words: simulated annealing, image enhancement, genetic algorithm, particle swarm optimization, simulated annealing, image enhancement, genetic algorithm