摘要
在解决养殖空调系统节能问题中，采用了自适应蚁群算法对多参量、非线性系统可寻最优求解的算法，并考虑到可能发生系统局部最优问题，利用Metropolis准则下的模拟退火算法来改善全局优化能力，提出了全局最优化参数的退火-蚁群算法，并在空调系统中进行了验证。结果表明，应用算法能使空调控制系统鲁棒性增强，节能率可达27．12％。
During the process of solving the energy saving performance of breed aquatics air conditioning system, this paper introduced the self-adaptive Ant-Group algorithm for optimizing multi-parameters nonlinear system. Considering this method may have local optimal problem, we proposed using both Metropolis criterion and Analog-Anneal algorithm to improve overall optimal ability, and provided Anneal-Ant algorithm based on overall optimal parameters. We tested the algorithm in a supermarket air-conditioning optimizing system, and the results confirmed it could enhance the robustness of air-conditioning system and its system energy saving rate was up to 27.12%.
出处
《农机化研究》
北大核心
2007年第6期105-107,110,共4页
Journal of Agricultural Mechanization Research
关键词
畜牧学
养殖空调系统
试验研究
优化算法
节能
animal husbandry
close coporation breed aquatics conditioning system
experimental research
optimization algorithm
energy saving
