The effects of two new crossover operators on genetic algorithm performance
Yükleniyor...
Tarih
2011
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Bv
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this study, two new crossover operators in genetic algorithm are proposed; sequential and random mixed crossover. In the first stage, existing and developed crossover operators were applied to two benchmark problems, namely the reinforced concrete beam problem and the space truss problem. In the second stage, the developed crossover operators were applied to a deep beam problem and, a concrete mix design problem. The fittest values obtained using developed crossover operators were higher than those were obtained with existing crossover operator after 30,000 generations. Moreover, in developed crossover operators, the random mixed crossover yields higher fitness values than the existing crossover operators. (c) 2010 Elsevier B. V. All rights reserved.
Açıklama
Anahtar Kelimeler
Genetic Algorithm, Crossover Operators
Kaynak
Applied Soft Computing
WoS Q Değeri
N/A
Scopus Q Değeri
Q1
Cilt
11
Sayı
1
