Optimization of an HVAC system with a strength multi-objective particle-swarm algorithm

@inproceedings{Kusiak2011OptimizationOA,
  title={Optimization of an HVAC system with a strength multi-objective particle-swarm algorithm},
  author={Andrew Kusiak and Guanglin Xu and Fan Tang},
  year={2011}
}
A data-driven approach for the optimization of a heating, ventilation, and air conditioning (HVAC) system in an office building is presented. A neural network (NN) algorithm is used to build a predictive model since it outperformed five other algorithms investigated in this paper. The NN-derived predictive model is then optimized with a strength multi-objective particle-swarm optimization (S-MOPSO) algorithm. The relationship between energy consumption and thermal comfort measured with… CONTINUE READING
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