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SONG Juan, QUAN Hui-yun. Intelligent Algorithm in Image Enhancement Technology (Chinese)[J]. Journal of East China Normal University (Natural Sciences), 2007, (3): 93-99.
Citation:
SONG Juan, QUAN Hui-yun. Intelligent Algorithm in Image Enhancement Technology (Chinese)[J]. Journal of East China Normal University (Natural Sciences), 2007, (3): 93-99.
SONG Juan, QUAN Hui-yun. Intelligent Algorithm in Image Enhancement Technology (Chinese)[J]. Journal of East China Normal University (Natural Sciences), 2007, (3): 93-99.
Citation:
SONG Juan, QUAN Hui-yun. Intelligent Algorithm in Image Enhancement Technology (Chinese)[J]. Journal of East China Normal University (Natural Sciences), 2007, (3): 93-99.
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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