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Cost optimization of feed mixes by genetic algorithms

Advances in Engineering Software · Ocak 2009

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YÖKSİS Kayıtları
Cost optimization of feed mixes by genetic algorithms
ADVANCES IN ENGINEERING SOFTWARE · 2009 SCI-Expanded
Dr. Öğr. Üyesi UĞUR TAŞKIRAN →
Cost optimization of feed mixes by genetic algorithms
Advances in Engineering Software · 2009 SCI-Expanded
Dr. Öğr. Üyesi UĞUR TAŞKIRAN →
Cost optimization of feed mixes by genetic algorithms
Advances in Engineering Software · 2009 SCI-Expanded
Prof. Dr. MEHMET ÇUNKAŞ →
Cost optimization of feed mixes by genetic algorithms
ADVANCES IN ENGINEERING SOFTWARE · 2009 SCI-Expanded
Doç. Dr. MEHMET AKİF ŞAHMAN →
YÖKSİS ISSN Eşleşmesi

Bu dergide (ISSN eşleşmesi) kurumun 7 kaydı bulundu.

YÖKSİS Kayıtları — ISSN Eşleşmesi
Fast computation of the prime implicants by exact direct cover algorithm based on the new partial ordering operation rule
2011 ISSN: 09659978 SCI-Expanded
Prof. Dr. FATİH BAŞÇİFTÇİ →
Cost optimization of feed mixes by genetic algorithms
2009 ISSN: 0965-9978 SCI-Expanded
Prof. Dr. MEHMET ÇUNKAŞ →
Efficiency determination of induction motors using multi objective evolutionary algorithms
2010 ISSN: 09659978 SCI-Expanded
Prof. Dr. MEHMET ÇUNKAŞ →
A tool for multiobjective evolutionary algorithms
2009 ISSN: 09659978 SCI-Expanded
Prof. Dr. MEHMET ÇUNKAŞ →
Efficiency determination of induction motors using multi objective evolutionary algorithms
2010 ISSN: 09659978 SCI-Expanded
Doç. Dr. TAHİR SAĞ →
A tool for multiobjective evolutionary algorithms
2009 ISSN: 0965-9978 SCI-Expanded Q3
Doç. Dr. TAHİR SAĞ →
Cost optimization of feed mixes by genetic algorithms
2009 ISSN: 0965-9978 SCI-Expanded
Dr. Öğr. Üyesi UĞUR TAŞKIRAN →

Makale Bilgileri

Dergi Advances in Engineering Software
ISSN09659978
Yayın TarihiOcak 2009
Cilt / Sayfa40 · 965-974
DOI10.1016/j.advengsoft.2009.04.003
Scopus ID2-s2.0-65549120634
Özet The cost optimization is a key element to determine the least-cost feed mixture according to animals' nutrient requirements and the effective use of the sources. In this paper, the cost optimization of feeds is performed by genetic algorithm, considering the growing style and type, age, nutritional requirement and feedstuff costs for poultry and different types of animals. The proposed method is compared with linear programming approach to measure its performance. The obtained results show that Genetic algorithms could be applicable to the cost optimization of the feed mixtures. In addition, a software program is developed by using Delphi environment, which provides flexible, extensible and user-friendly framework for tuning the heuristic relevant parameters and improving the solution quality. © 2009 Elsevier Ltd. All rights reserved.

Yazarlar (6)

1
Mehmet Akif Şahman
2
Mehmet Çunkaş
3
Şeref Inal
4
Fatma Inal
5
Behiç Coşkun
6
Uğur Taşkıran

Anahtar Kelimeler

Cost optimization Feed mixes Genetic algorithms Poultry Ruminant

Kurumlar

Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Advances in Engineering Software
Q1
SJR Skoru1,124
H-Index107
YayıncıElsevier Ltd
ÜlkeUnited Kingdom
Engineering (miscellaneous) (Q1)
Software (Q1)
Dergi sayfasına git

Metrikler

42
Atıf
6
Yazar
5
Anahtar Kelime

Sistemimizdeki Yazarlar

MÇ
MEHMET ÇUNKAŞ
Prof. Dr.

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