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《Journal of Chongqing Normal University(Natural Science Edition)》 2007-01
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A Heuristic Algorithm For Obtaining Balanced Boolean Function Satisfying High Nonlinearity

CHEN Guo(College of Movies and Media,Chongqing Normal University,Chongqing 400047,China)  
A heuristic hybrid algorithm called chaotic searching simulated annealing is here proposed,which is mixed by chaotic searching and simulated annealing to evolve balanced boolean functions satisfying high nonlinearity.Furthermore,several experiments have been made based on the novel and the traditional simulated annealing methods.The results of numerical analysis show that the novel algorithm could avoid plunging into local optimal value,more effectively and find better balanced boolean functions satisfying high nonlinearity than that of the traditional one.
【Fund】: 重庆市教委科技研究项目(No.KJ060804No.KJ050802);; 重庆市科委自然科学基金项目(No.8503No.8509)
【CateGory Index】: TN918.1
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