Simulación de la distribución de alimento en el cultivo de camarón
This work addresses efficiency improvements in shrimp aquaculture, though it appears incremental as it builds on existing simulation and optimization methods.
The paper tackled optimizing food distribution in shrimp farming by simulating various feeder configurations and using genetic algorithms with fuzzy logic, achieving a reduction in simulated total culture time from 22 weeks to 14 weeks.
This document presents the experimentation of 4 cases of food distribution for shrimp farming. The distributions are based on the location of the automatic feeders. Three cases applied in reality and a fourth case where the food is irrigated on the crop simultaneously and uniformly. In a first stage, the simulation of the three distribution cases is successfully adjusted to reality, where the trend of the shrimp growth curve is correlated with the historical data curve. A second stage where you experiment in 16 configurations that are based on the amount of food, the density of biomass and the distribution of the food. The simulation adopts the concepts of genetic algorithms to improve the population and fuzzy logic as an agent evaluation technique for decision-making against the quality of physical-chemical parameters in the simulated environment. The results of these interactions reveal a reduction in the simulated total culture time from 22 weeks to 14 weeks.