Open AccessGood Parameters for PSO in Optimizing Laying Hen Diet
Author(s) -
Gusti Ahmad Fanshuri Alfarisy,
Wayan Firdaus Mahmudy,
Muhammad Halim Natsir
Publication year - 2018
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v8i4.pp2419-2432
Subject(s) - particle swarm optimization , inertia , computer science , mathematical optimization , acceleration , task (project management) , mathematics , engineering , physics , classical mechanics , systems engineering
Manual formulation of poultry diet by taking into account the fulfillment of all nutrients requirement with least cost is a difficult task. Particle Swarm Optimization (PSO) shows promising technique to solve this problem. However, there is a lack of studying a good parameter for PSO to solve feed formulation problem since PSO is sensitive to control parameter which depends on the problem. Therefore, this study investigates good swarm size, total iterations, acceleration coefficients, and inertia weight to produce a better formula. PSO with proposed good parameters is compared with other parameters. The obtained result shows that PSO with good parameters choice produces the highest fitness. Furthermore, good parameters of PSO can be used as a reference for a software developer and for further research to optimize poultry diet using PSO.