Abstract
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.
Original language | English |
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Pages | 173-179 |
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
Conference | 11th International IBPSA Conference - Building Simulation 2009, BS 2009 |
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Country/Territory | United Kingdom |
City | Glasgow |
Period | 27/07/07 → 30/07/07 |