2019
DOI: 10.11591/ijece.v9i1.pp585-592
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Chicken feed optimization using evolution strategies and firefly algorithm

Abstract: Mixing broiler chicken and layer hens feed using various feed ingredients is a difficult task. The feed must fulfill the minimum nutrient requirement and must break the constraint. Some classic approach like Pearson's Square has been already introduced to solve this problem. However, the approaches cannot guarantee to fulfill nutrient requirements and desirable price. The two metaheuristic algorithms Evolution Strategies (ES) and Firefly Algorithms (FA) are being proposed in this paper to know how well they pe… Show more

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Cited by 8 publications
(5 citation statements)
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“…However, the disadvantages of the Nonlinear Programming technique are hard in searching global minimum value and certainly needs derivative computation of a particular function that may confined accessible or difficult to compute. Thus, the Nonlinear Programming technique is considered hard and inadequate to handle such complex problems and can be very time-consuming [6][7][8] indeed.…”
Section: Some Related Studiesmentioning
confidence: 99%
“…However, the disadvantages of the Nonlinear Programming technique are hard in searching global minimum value and certainly needs derivative computation of a particular function that may confined accessible or difficult to compute. Thus, the Nonlinear Programming technique is considered hard and inadequate to handle such complex problems and can be very time-consuming [6][7][8] indeed.…”
Section: Some Related Studiesmentioning
confidence: 99%
“…The diets were divided into a control treatment (n = 30) based on commercial feed ® ; treatment T1 (n = 30) based on sold-out substrate, wheat germ, and corn tortilla; treatment T2 (n = 30) based on sold-out substrate and wheat germ, and T3 treatment (n = 30) based on wheat germ and corn tortilla (Table 2), according to the calculations made through the Pearson square; this being a practical method when mixing two or more foods that have different concentrations of protein [29]. Metabolic energy was calculated for feed components based on the results of chemical analyses, prior to formulating dietary recipes, based on poultry recommendation guidelines for birds (Table 2).…”
Section: Experimental Design and Dietsmentioning
confidence: 99%
“…Another area that impacts the sustainability of a livestock farm is the feed formulation. In fact, formulating feeds of the livestock by including agricultural by-products would lead to reduced GHG emissions (Alqaisi et al, 2017;Guo and Zhang, 2020;Sihananto et al, 2019;Wijayaningrum et al, 2017). Uyeh et al (2018) used a differential evolution algorithm combined with feed formulation simulations to find the optimal feed formulation for cattle farms.…”
Section: Optimization Objectivementioning
confidence: 99%