Abstract
A design support system with a new strategy for finding the optimal functional configurations of rooms for architectural layouts is presented. A set of configurations satisfying given constraints is generated and ranked according to multiple objectives. The method can be applied to problems in architectural practice, urban or graphic design—wherever allocation of related geometrical elements of known shape is optimized. Although the methodology is shown using simplified examples—a single story residential building with two apartments each having two rooms—the results resemble realistic functional layouts. One example of a practical size problem of a layout of three apartments with a total of 20 rooms is demonstrated, where the generated solution can be used as a base for a realistic architectural blueprint. The discretization of design space is discussed, followed by application of a backtrack search algorithm used for generating a set of potentially ‘good’ room configurations. Next the solutions are classified by a machine learning method (FFN) as ‘proper’ or ‘improper’ according to the internal communication criteria. Examples of interactive ranking of the ‘proper’ configurations according to multiple criteria and choosing ‘the best’ ones are presented. The proposed framework is general and universal—the criteria, parameters and weights can be individually defined by a user and the search algorithm can be adjusted to a specific problem.
Highlights
The language of architecture is in great majority visual- the most effective way of communication are diagrams, plans, perspective drawings, elevation drawings etc
The following definition of a functional layout is assumed: A functional layout is a graphic representation of relationships among spaces of a building
In the field of layout optimization, grid is used in the quadratic assignment problem where the shape of a building is given on a coarse grid and space units are assigned to their corresponding locations while the space elements have relationships among each other
Summary
There are approximately two thousands definitions of the term “architecture” (Leśniakowska 1996). This alone shows that in this field there are some major difficulties with nomenclature and formalizations due to the enormous expressive power of the natural language, that can generate contradictions and paradoxes (Sowa 2008). The ideal solution in this sense is the point in the objective space where coordinates have maximal (minimal) values of the objective functions Often such a solution does not exist. In such a case it is necessary to make a choice among the permissible solutions which becomes the so-called admissible solution This selection is another difficult problem, so the final decision is most often made arbitrarily
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
