Cost optimization of mixed feeds with the particle swarm optimization method
Küçük Resim Yok
Tarih
2013
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
SPRINGER
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, the best mixed feed was prepared by using the algorithm of particle swarm optimization (PSO) and by taking into account the breeding type and method of the poultries and various farm animals (cattle, sheep, rabbit), their needs, ages, and feeding costs and optimizing them all. Results obtained through PSO were compared through linear programming and real-coded genetic algorithm. According to the results that were obtained, PSO produces more rapid, more stable, and optimum values.
Açıklama
Anahtar Kelimeler
Mixed feed, Particle swarm optimization, Real-coded genetic algorithm, Linear programming, Cost optimization
Kaynak
NEURAL COMPUTING & APPLICATIONS
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
22
Sayı
2
