Cost optimization of mixed feeds with the particle swarm optimization method (original) (raw)

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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Authors and Affiliations

  1. Department of Electronic and Computer Science Education, Technical Educational Faculty, Selcuk University, Selcuklu/Konya, Turkey
    Adem Alpaslan Altun
  2. Guneysınır Vocational High School, Selcuk University, Konya, Turkey
    Mehmet Akif Şahman

Authors

  1. Adem Alpaslan Altun
  2. Mehmet Akif Şahman

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Correspondence toAdem Alpaslan Altun.

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Altun, A.A., Şahman, M.A. Cost optimization of mixed feeds with the particle swarm optimization method.Neural Comput & Applic 22, 383–390 (2013). https://doi.org/10.1007/s00521-011-0701-8

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