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Neural Computing and Applications

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01.02.2013 | Original Article

Cost optimization of mixed feeds with the particle swarm optimization method

verfasst von: Adem Alpaslan Altun, Mehmet Akif Şahman

Erschienen in: Neural Computing and Applications | Ausgabe 2/2013

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Abstract

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.

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Titel: Cost optimization of mixed feeds with the particle swarm optimization method
verfasst von: Adem Alpaslan Altun
Mehmet Akif Şahman
Publikationsdatum: 01.02.2013
Verlag: Springer-Verlag
Erschienen in: Neural Computing and Applications / Ausgabe 2/2013
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-011-0701-8

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