An Application of the Virus Optimization Algorithm to the Problem of Finding Extremal Binary Self-Dual Codes
Yükleniyor...
Tarih
2021
Yazarlar
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Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this paper, a virus optimization algorithm, which is one of the
metaheuristic optimization technique, is employed for the first time to
the problem of finding extremal binary self-dual codes. We present a
number of generator matrices of the form [I36 | τ3(v)], where I36 is
the 36 × 36 identity matrix, v is an element in the group matrix ring
M3(F2)G and G is a finite group of order 12, which we then employ
together with the the virus optimization algorithm and the genetic
algorithm to search for extremal binary self-dual codes of length 72.
We obtain that the virus optimization algorithm finds more extremal
binary self-dual codes than the genetic algorithm. Moreover, by employing the above mentioned constructions together with the virus optimization algorithm, we are able to obtain 39 Type I and 19 Type II
codes of length 72, with parameters in their weight enumerators that
were not known in the literature before.
Açıklama
Anahtar Kelimeler
binary self-dual codes, virus optimization algorithm, metaheuristic optimization, extremal codes
Kaynak
WoS Q Değeri
Q3
Scopus Q Değeri
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Sayı
Künye
Korban, A., Sahinkaya, S. ve Üüstün, D. (2021), An Application of the Virus Optimization Algorithm to the Problem of Finding Extremal Binary Self-Dual Codes. ArXiv abs/2103.07739
