Combination of optimisation algorithms for a multi-objective building design problem

Mohamed Hamdy, Ala Hasan, Kai Siren

Research output: Contribution to conferenceConference articleScientificpeer-review

22 Citations (Scopus)

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 languageEnglish
Pages173-179
Number of pages7
Publication statusPublished - 1 Dec 2009
MoE publication typeNot Eligible
Event11th International IBPSA Conference - Building Simulation 2009, BS 2009 - Glasgow, United Kingdom
Duration: 27 Jul 200730 Jul 2007

Conference

Conference11th International IBPSA Conference - Building Simulation 2009, BS 2009
CountryUnited Kingdom
CityGlasgow
Period27/07/0730/07/07

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Hamdy, M., Hasan, A., & Siren, K. (2009). Combination of optimisation algorithms for a multi-objective building design problem. 173-179. Paper presented at 11th International IBPSA Conference - Building Simulation 2009, BS 2009, Glasgow, United Kingdom.