Multi-disciplinary optimization of building spatial designs

Civil-comp conferences, vol. 2, pp. 1–7

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.

Authors 5

1. Sjonnie Boonstra
   Affiliation as printed

   ABT Consulting Engineers , The Netherlands

   ABT Consulting Engineers, The Netherlands

   Civil-Comp Ltd, Edinburgh, UK, 2022

2. Koen van der Blom Aachen Leiden Institute of Advanced Computer Science

   Leiden University

   Affiliation as printed

   Leiden Institute of Advanced Computer Science , The Netherlands

   Leiden Institute of Advanced Computer Science, The Netherlands

3. Hèrm Hofmeyer

   Eindhoven University of Technology

   Affiliation as printed

   Eindhoven University of Technology , The Netherlands

   Civil-Comp Ltd , Edinburgh , UK, 2022

   Eindhoven University of Technology, The Netherlands

4. Michael Emmerich Aachen Leiden Institute of Advanced Computer Science

   Leiden University

   Affiliation as printed

   Leiden Institute of Advanced Computer Science , The Netherlands

   Leiden Institute of Advanced Computer Science, The Netherlands

5. T. Ezendam

   Eindhoven University of Technology

   Affiliation as printed

   Eindhoven University of Technology , The Netherlands

   Eindhoven University of Technology, The Netherlands