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# 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} }

- Published 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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