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ISSN 2753-3239
CCC: 2
PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY
Edited by: B.H.V. Topping and P. Iványi
Paper 4.1

Multi-disciplinary optimization of building spatial designs

S. Boonstra1, K. van der Blom2, H. Hofmeyer3, M.T.M. Emmerich2 and T. Ezendam3

1ABT Consulting Engineers, The Netherlands
1Leiden Institute of Advanced Computer Science, The Netherlands
1Eindhoven University of Technology, The Netherlands

Full Bibliographic Reference for this paper
S. Boonstra, K. van der Blom, H. Hofmeyer, M.T.M. Emmerich, T. Ezendam, "Multi-disciplinary optimization of building spatial designs", in B.H.V. Topping, P. Iványi, (Editors), "Proceedings of the Eleventh International Conference on Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 2, Paper 4.1, 2022, doi:10.4203/ccc.2.4.1
Keywords: design process simulations, evolutionary algorithms, hybridization, thermal design, structural design, design support systems.

Abstract
The global expenditure of resources may be significantly reduced by optimizing building designs, especially at an early stage. This paper presents three methods for early stage building spatial design and optimization: (I) an evolutionary algorithm, (II) a simulation of design processes, and (III) a hybridization of methods (I) and (II). Both methods (I) and (II) naturally show advantages and disadvantages, which have been analysed. Accordingly, it is shown that hybridization successfully combines both the methods and their advantages while their disadvantages are diminished, yielding a method that can find better results in a more efficient approach.

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