Optimizing Laying Hen Diet using Multi-Swarm Particle Swarm Optimization

The complexity of problem would increase by accounting digestible amino acids. [...]the more advanced technique is required to enhance PSO to produce better and stable formula with less time complexity. Swarm in PSO is divided into 4 sub-swarm which are A, B, C, and D. The movement process of a part...

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Bibliographic Details
Published inTelkomnika Vol. 16; no. 4; pp. 1712 - 1723
Main Authors Alfarisy, Gusti Ahmad Fanshuri, Mahmudy, Wayan Firdaus, Natsir, Muhammad Halim
Format Journal Article
LanguageEnglish
Published Yogyakarta Ahmad Dahlan University 01.08.2018
Subjects
Accounting
Amino acids
Animal cognition
Computer engineering
Feeds
Genetic algorithms
Linear programming
Mathematical problems
Neural networks
Particle swarm optimization
Poultry
Social activism
Software
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Summary:The complexity of problem would increase by accounting digestible amino acids. [...]the more advanced technique is required to enhance PSO to produce better and stable formula with less time complexity. Swarm in PSO is divided into 4 sub-swarm which are A, B, C, and D. The movement process of a particle of PSO in each sub-swarm is enhanced with a probability of bisection method using equation 5 and 6. Since particle only shares information outside of itself using global best position, it will be advantageous of a particle to get information from other better particle. In this study, the total negative position becomes the fitness value of a particle which denoted as tNP. [...]the fitness function is defined in equation 16 and the total negative position is defined in equation 17. .. While, if we choose the highest optimum swarm size like 50, all formulae would produce high average fitness even it is not optimum in terms of time complexity.
ISSN:1693-6930
2302-9293
DOI:10.12928/telkomnika.v16i4.7765