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Evolutionary Design of Boolean Functions

Evolutionary Design of Boolean Functions
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摘要 We use evolutionaly computing to synthesize Boolean functions randomly Byusing specific crossover and mutation operator, in evolving process and modifying search space andfitness function, we get some high non-linearity functions which have other good cryptographycharacteristics such as autocorrelation etc Comparing to other heuristic search techniques,evolutionary computing approach is more effective because of global search strategy and implicitparallelism. We use evolutionaly computing to synthesize Boolean functions randomly Byusing specific crossover and mutation operator, in evolving process and modifying search space andfitness function, we get some high non-linearity functions which have other good cryptographycharacteristics such as autocorrelation etc Comparing to other heuristic search techniques,evolutionary computing approach is more effective because of global search strategy and implicitparallelism.
出处 《Wuhan University Journal of Natural Sciences》 EI CAS 2005年第1期179-182,共4页 武汉大学学报(自然科学英文版)
基金 SupportedbytheNationalNaturalScienceFoundationofChina(69973034,60373087,60473023)andthePh.DProgramsFoundationofMinistryofEducationofChina(20020486046)
关键词 Boolean function non-linearity evolutionary computing Boolean function non-linearity evolutionary computing
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参考文献2

  • 1Zhang Huang-guo,Feng Xiu-tao,Qin Zhong-ping,et al.Evolutionary Cryptography and the Evolving Design of DES[].Journal of Communication.2002
  • 2Hou X D.On the Norm and Covering Radius of First-Order Reed - Muller Codes[].IEEE Transactions on Information Theory May.1997

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