Pubblicazione scientifica

Milkfish Feed Optimization Using Adaptive Particle Swarm Optimization (PSO) Algorithm

FILONE TECNOLOGICO	TEMA
trasformazione e commercializzazione

RIASSUNTO

Milkfish is a cultivation commodity that contributes quite significantly on a national scale. But in practice, milkfish cultivation requires a large number of production costs, especially in the provision of fish feed. This research will discuss how to optimize the composition of milkfish feed, minimize costs without lowering production yields, and still pay attention to the nutritional needs of milkfish cultivation. The optimization method, Particle Swarm Optimization (PSO) is applied to the formulation process and the composition of milkfish feed to meet the nutritional needs of fish with minimal cost. Improvements to the PSO resulted in Adaptive Particle Swarm Optimization (APSO). This improvement conducted to strengthen PSO's ability to explore broad areas of search for solutions efficiently. The results of computational analysis prove that APSO produces a better solution than PSO.

DATA

Data di pubblicazione: 01/09/2019

AUTORI

BERYL LABIQUE AHMADIE
WANDA ATHIRA LUQYANA
WAYAN FIRDAUS MAHMUDY
RIO ARIFANDO

ENTE DI AFFERENZA

FACULTY OF COMPUTER SCIENCE UNIV BRAWIJAYAMALANGINDONESIA

RIVISTA

2019 International Conference on Sustainable Information Engineering and Technology (SIET) (Page(s): 28-32)

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