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

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dc.contributor.author Mishra, Mohit
dc.contributor.author Gupta, Vaibhav
dc.contributor.author Chaturvedi, Utkarsh
dc.contributor.author Shukla, K. K.
dc.contributor.author Yampolskiy, R. V.
dc.date.accessioned 2020-03-06T07:18:30Z
dc.date.available 2020-03-06T07:18:30Z
dc.date.issued 2015-03-06
dc.identifier.issn 18770509
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/714
dc.description.abstract Integer 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.language.iso en_US en_US
dc.publisher Elsevier B.V. en_US
dc.subject Evolutionary computation en_US
dc.subject Integer Factorization en_US
dc.subject Swarm intelligence en_US
dc.title A Study on the Limitations of Evolutionary Computation and other Bio-inspired Approaches for Integer Factorization en_US
dc.type Article en_US


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