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A Study on the Limitations of Evolutionary Computation and other Bio-inspired Approaches for Integer Factorization

dc.contributor.authorMishra, Mohit
dc.contributor.authorGupta, Vaibhav
dc.contributor.authorChaturvedi, Utkarsh
dc.contributor.authorShukla, K. K.
dc.contributor.authorYampolskiy, R. V.
dc.date.accessioned2020-03-06T07:18:30Z
dc.date.available2020-03-06T07:18:30Z
dc.date.issued2015-03-06
dc.description.abstractInteger Factorization is a vital number theoretic problem frequently finding application in public-key cryptography like RSA encryption systems, and other areas like Fourier transform algorithm. The problem is computationally intractable because it is a one-way mathematical function. Due to its computational infeasibility, it is extremely hard to find the prime factors of a semi prime number generated from two randomly chosen similar sized prime numbers. There has been a recently growing interest in the community with regards to evolutionary computation and other alternative approaches to solving this problem as an optimization task. However, the results still seem to be very rudimentary in nature and there's much work to be done. This paper emphasizes on such approaches and presents a critic study in details. The paper puts forth criticism and ideas in this aspect.en_US
dc.identifier.issn18770509
dc.identifier.urihttps://idr-sdlib.iitbhu.ac.in/handle/123456789/714
dc.language.isoen_USen_US
dc.publisherElsevier B.V.en_US
dc.subjectEvolutionary computationen_US
dc.subjectInteger Factorizationen_US
dc.subjectSwarm intelligenceen_US
dc.titleA Study on the Limitations of Evolutionary Computation and other Bio-inspired Approaches for Integer Factorizationen_US
dc.typeArticleen_US

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