A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems

被引：0
作者：
María José Gacto
Rafael Alcalá
Francisco Herrera
机构：
[1] University of Jaén,Dept. Computer Sciences
[2] University of Granada,Dept. Computer Science and Artificial Intelligence
来源：
Applied Intelligence | 2012年 / 36卷
关键词：
Heating, ventilating, and air conditioning systems; HVAC systems; Fuzzy logic controllers; Genetic tuning; Linguistic 2-tuples representation; Rule selection; Multi-objective evolutionary algorithms;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper focuses on the use of multi-objective evolutionary algorithms to develop smartly tuned fuzzy logic controllers dedicated to the control of heating, ventilating and air conditioning systems, energy performance, stability and indoor comfort requirements. This problem presents some specific restrictions that make it very particular and complex because of the large time requirements needed to consider multiple criteria (which enlarge the solution search space) and the long computation time models required in each evaluation.
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页码：330 / 347
页数：17
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