| Evolutionary Design of Boolean Functions |
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| 作者姓名： | WANGZhang-yi ZHANGHuan-guo QINZhong-ping MENGQing-shu |
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| 作者单位： | [1]SchoolofComputer,WuhanUniversity,Wuhan430072,Hubei,China [2]SchoolofSoftware,HuazhongUniversityofScienceandTechnology,Wuhan430074,Hubei,China |
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| 基金项目： | SupportedbytheNationalNaturalScienceFoundationofChina(69973034,60373087,60473023)andthePh.DProgramsFoundationofMinistryofEducationofChina(20020486046) |
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| 摘 要： | We use evolutionary computing to synthesize Boolean functions randomly. By using specific crossover and mutation operator in evolving process and modifying search space and fitness function, we get some high non-linearity functions which have other good cryptography characteristics such as autocorrelation etc. Comparing to other heuristic search techniques, evolutionary computing approach is more effective because of global search strategy and implicit parallelism.
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| 关 键 词： | 密码学 布尔函数 进化设计 非线性特征 密码设计 |
| 收稿时间： | 20 May 2004 |
Evolutionary design of boolean functions |
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| WANGZhang-yi ZHANGHuan-guo QINZhong-ping MENGQing-shu.Evolutionary Design of Boolean Functions[J].Wuhan University Journal of Natural Sciences,2005,10(1):179-182. |
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| Authors: | Wang Zhang-yi Zhang Huan-guo Qin Zhong-ping Meng Qing-shu |
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| Institution: | (1) School of Computer, Wuhan University, 430072, Hubei Wuhan, China;(2) School of Software, Huazhong University of Science and Technology, 430074, Hubei Wuhan, China |
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| Abstract: | We use evolutionary computing to synthesize Boolean functions randomly. By using specific crossover and mutation operator in evolving process and modifying search space and fitness function, we get some high non-linearity functions which have other good cryptography characteristics such as autocorrelation etc. Comparing to other heuristic search techniques, evolutionary computing approach is more effective because of global search strategy and implicit parallelism. |
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| Keywords: | Boolean function non-linearity evolutionary computing |
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