期刊名称:International Journal of Computer Science and Network Security
印刷版ISSN:1738-7906
出版年度:2006
卷号:6
期号:7A
页码:132-136
出版社:International Journal of Computer Science and Network Security
摘要:A combined optimization of genetic algorithms with simulated annealing has been applied to image segmentation with good results in this paper. The defect of Hopfield neural network is being captured by local optimal solutions, while the defect of genetic algorithms is the low speed of convergence. Both disadvantages mentioned above have been overcome here. Solutions obtained with the converged Hopfield neural network are applied to the genetic algorithm to search for the optimization on the plane of threshold value.