优化对虾饲料分布，缩短养殖周期8周
Simulación de la distribución de alimento en el cultivo de camarón
- 用遗传算法与模糊逻辑优化饲料投放策略
- 模拟显示养殖周期从22周缩短至14周
- 适合水产养殖智能管理研究者参考
本文实验了四种对虾养殖饲料分布方案，其中三种为实际应用方案，第四种为均匀同步投喂。第一阶段成功将前三类方案的模拟结果与真实数据匹配，生长曲线与历史数据趋势一致。第二阶段在16种配置下测试饲料量、生物量密度及分布的影响，采用遗传算法优化种群，以模糊逻辑评估环境参数质量进行决策。模拟结果显示，总养殖周期由22周减少至14周。
原文摘要 · Abstract (English)
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.
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