Scopus
YÖKSİS Eşleşti
Cost optimization of mixed feeds with the particle swarm optimization method
Neural Computing and Applications · Şubat 2013
YÖKSİS Kayıtları
Cost optimization of mixed feeds with the particle swarm optimization method
NEURAL COMPUTING & APPLICATIONS · 2013 SCI-Expanded
DOÇENT MEHMET AKİF ŞAHMAN →
Cost optimization of mixed feeds with the particle swarm optimization method
Neural Computing and Applications · 2013 SCI-Expanded
PROFESÖR ADEM ALPASLAN ALTUN →
Makale Bilgileri
DergiNeural Computing and Applications
Yayın TarihiŞubat 2013
Cilt / Sayfa22 · 383-390
Scopus ID2-s2.0-84872599141
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. © 2011 Springer-Verlag London Limited.
Yazarlar (2)
1
A. A. Altun
2
Mehmet Akif Şahman
Anahtar Kelimeler
Cost optimization
Linear programming
Mixed feed
Particle swarm optimization
Real-coded genetic algorithm
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
35
Atıf
2
Yazar
5
Anahtar Kelime