Recently, a combination between simulation and optimisation has been important for many of HVAC design problems. Long execution time is usually needed for one simulation run; consequently huge time will be required for the optimisation process. The aim of this study is to evaluate how combinations between optimisation algorithms can achieve faster and/or better solutions for multi-objective optimisation problems. Two optimisation approaches are suggested and tested for an HVAC-building optimisation problem. These approaches are based on combinations between two deterministic algorithms and a genetic algorithm using MATLAB environment. The results indicate that significant time could be saved by applying these approaches compared with using genetic algorithm alone.
|Number of pages||7|
|Publication status||Published - 1 Dec 2009|
|MoE publication type||Not Eligible|
|Event||11th International IBPSA Conference - Building Simulation 2009, BS 2009 - Glasgow, United Kingdom|
Duration: 27 Jul 2007 → 30 Jul 2007
|Conference||11th International IBPSA Conference - Building Simulation 2009, BS 2009|
|Period||27/07/07 → 30/07/07|