Paper Conference

Proceedings of Building Simulation 2009: 11th Conference of IBPSA

     

COMBINATION OF OPTIMISATION ALGORITHMS FOR A MULTI-OBJECTIVE BUILDING DESIGN PROBLEM

Mohamed Hamdy, Ala Hasan, Kai Siren

DOI: https://doi.org/10.26868/25222708.2009.0173-179
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 multiobjective 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.
Pages: 173 - 179
Paper:
bs2009_0173_179