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IMPLICATION OF FUZZY LOGIC IN GA FOR SOLVING MATHEMATICAL PROBLEMS

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dc.contributor.author Rahman, A. K. M. Mahbubur
dc.contributor.author Khan, Md. Bashir Uddin
dc.contributor.author Bhuiyan, Md. Al-Amin
dc.date.accessioned 2012-11-08T04:48:38Z
dc.date.accessioned 2019-05-28T09:33:00Z
dc.date.available 2012-11-08T04:48:38Z
dc.date.available 2019-05-28T09:33:00Z
dc.date.issued 2007-01-01
dc.identifier.uri http://hdl.handle.net/20.500.11948/449
dc.description.abstract In this paper we present a novel method for obtaining fast software implementation of the Elliptic Curve Digital Signature Algorithm in the finite field GF(p) with an arbitrary prime modulus p of arbitrary length. The most important feature of the method is that it avoids bit-level operations which are slow on microprocessors and performs word-level operations which are significantly faster. The algorithms used in the implementation perform word-level operations, trading them off for bit-level operations and thus resulting in much higher speeds. We provide the timing results of our implementations on a 2.8 GHz Pentium 4 processor, supporting our claim that ECDSA is appropriate for constrained environments. en_US
dc.language.iso en en_US
dc.subject Genetic Algorithm, Fuzzy Logic, Mutation, Mating, Chromosome, Fitness evaluation function. en_US
dc.title IMPLICATION OF FUZZY LOGIC IN GA FOR SOLVING MATHEMATICAL PROBLEMS en_US
dc.type Article en_US


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