Cost optimization of feed mixes by genetic algorithms

Küçük Resim Yok

Tarih

2009

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

ELSEVIER SCI LTD

Erişim Hakkı

info:eu-repo/semantics/closedAccess

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. (C) 2009 Elsevier Ltd. All rights reserved.

Açıklama

Anahtar Kelimeler

Feed mixes, Poultry, Ruminant, Genetic algorithms, Cost optimization

Kaynak

ADVANCES IN ENGINEERING SOFTWARE

WoS Q Değeri

Q3

Scopus Q Değeri

Q1

Cilt

40

Sayı

10

Künye