封闭式养殖空调系统节能优化算法

在养殖空调系统节能问题中,为了解决自适应蚁群算法对多参量、非线性系统寻优求解时会发生系统局部最忧的问题,利用Metropolis准则下的模拟退火算法来改善全局优化能力,蚁群算法为模拟退火算法提供初始解,模拟退火算法对解进一步改善,蚁群算法再利用SA产生的新解进行并行搜索,结合两者的特点,形成了全局参数的自适应优化算法,并在封闭式养殖空调系统中进行了试验,结果表明应用该算法能使空调控制系统寻优能力增强,节能率达26.96%。

Optimized algorithm for energy-saving of air conditioning system in closed type breed aquatics

During the process of the energy saving performance of breeding air-conditioning system,self-adaptive Ant-Group algorithm can bring local optimal problem for optimizing multi-parameters nonlinear system.This paper proposed using Analog-Anneal algorithm under Metropolis criterion to improve overall optimal ability,Analog-Anneal algorithm improve the initial solution that Ant-Group algorithm supports,Ant-Group algorithm run research side by side by using the new solution SA produces again.It leads to formation of self-adaptive optimization algorithm of overall optimal parameters by combining the characteristics of these two aspects.At the same time,we tested the algorithm in a breeding air-conditioning system,and the results confirmed it could enhance the robustness of air-conditioning system and its energy saving rate was up to 26.96%.