Turkish Journal of Mathematics and Computer Science

Turkish Journal of Mathematics and Computer Science

Approaching the Minimum Distance Problem by Algebraic Swarm-Based Optimizations

Yazarlar: Serap ŞAHİNKAYA, Deniz ÜSTÜN

Cilt 13 , Sayı 1 , 2021 , Sayfalar 129 - 134

Konular:Mühendislik, Matematik

DOI:10.47000/tjmcs.825565

Anahtar Kelimeler:Minimum distance,Minimum-weight codeword,BCH codes,Optimization,Heuristic,Bat algorithm,Firefly algorithm

Özet: Finding the minimum distance of linear codes is one of the main problems in coding theory. The importance of the minimum distance comes from its error-correcting and error-detecting capability of the handled codes. It was proven that this problem is an NP-hard that is the solution of this problem can be guessed and verified in polynomial time but no particular rule is followed to make the guess and some meta-heuristic approaches in the literature have been used to solve this problem. In this paper, swarm-based optimization techniques, bat and firefly, are applied to the minimum distance problem by integrating the algebraic operator to the handled algorithms.


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BibTex
KOPYALA
@article{2021, title={Approaching the Minimum Distance Problem by Algebraic Swarm-Based Optimizations}, volume={13}, number={129–134}, publisher={Turkish Journal of Mathematics and Computer Science}, author={Serap ŞAHİNKAYA,Deniz ÜSTÜN}, year={2021} }
APA
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Serap ŞAHİNKAYA,Deniz ÜSTÜN. (2021). Approaching the Minimum Distance Problem by Algebraic Swarm-Based Optimizations (Vol. 13). Vol. 13. Turkish Journal of Mathematics and Computer Science.
MLA
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Serap ŞAHİNKAYA,Deniz ÜSTÜN. Approaching the Minimum Distance Problem by Algebraic Swarm-Based Optimizations. no. 129–134, Turkish Journal of Mathematics and Computer Science, 2021.