Skip to main content Accessibility help
×
Home

Design characteristics and aesthetics in evolutionary design of architectural forms directed by fuzzy evaluation

  • Agnieszka Mars (a1), Ewa Grabska (a1), Grażyna Ślusarczyk (a1) and Barbara Strug (a1)

Abstract

This paper deals with design characteristics-oriented approach to architectural design based on the combination of three methods – recognition, generation, and evaluation. Design characteristics are understood as a set of specific features which constitute a discriminant of a class of architectural forms. The Biederman recognition-by-components theory is used to recognize the design structure. An evolutionary algorithm, which serves as a generative tool, is driven by the fuzzy evaluation based on Birkhoff's aesthetic measure. Phenotypes of architectural objects are seen as configurations of Biederman's basic components essential for visual perception. Genotypes of these objects are represented by graphs with bonds, where nodes represent object components, node bonds represent component surfaces, while graph edges represent relations between surfaces. Graph evolutionary operators, that is, crossover and mutation, are defined in such a way that they preserve characteristic features seen as design requirements specified for designed objects. The fitness function is determined by the fuzzy evaluation of designs based on Birkhoff's aesthetic measure for polygons adapted for three-dimensional solids. The approach is illustrated by examples of designing objects with the use of a fuzzy evaluation mechanism, which takes into account both aesthetic criteria and the degree to which design requirements corresponding to object characteristic features are satisfied.

Copyright

Corresponding author

Author for correspondence: Agnieszka Mars, E-mail: agnieszka.mars@uj.edu.pl

References

Hide All
Alexander, C, Ishikawa, S, Silverstein, M, Jacobson, M, Fiksdahl-King, I and Angel, S (1977). A Pattern Language: Towns, Buildings, Construction. New York: Oxford University Press.
Biederman, I (1987) Recognition-by-components: a theory of human image understanding. Psychological Review 94, 115147.
Birkhoff, GD (1933) Aesthetic Measure. Cambridge, MA:Harvard University Press.
De Jong, T and Van der Voordt, TJM (2002) Ways to study - criteria for scientific study and design. In De Jong, T and Van der Voordt, TJM (eds), Ways to Study and Research Architectural, Urban and Technical Design. Delft: Delft University Press, pp. 1932.
De Silva Garza, G and Maher, ML (1999) Evolving design layout cases to satisfy feng shui constraints. Proceedings of the Fourth Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA99, Shanghai, pp. 115-124.
Gardner, B and Krishnamurti, R (2008) Ordering the Aesthetic (A+) in Architecture: Advancing a Theory of Modular Computation, Nexus.
Garip, E and Garip, B (2012) Aesthetic evaluation differences between two interrelated disciplines: a comparative study on architecture and civil engineering students. Procedia – Social and Behavioral Sciences 51, 533540.
Goldberg, DE (1989) Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA: Addison-Wesley.
Grabska, E and Borkowski, A (1996) Assisting creativity by composite representation. In Gero J.S. and Sudweeks F. (eds), Artificial Intelligence in Design ‘96. Dordrecht, Netherlands: Kluwer Academic Publishers, pp. 743759.
Jupp, J and Gero, JS (2010) Let's look at style: visual and spatial representation and reasoning in design. In Argamon, S, Burns, K and Dubnov, S (eds),The Structure of Style. Springer, pp. 159195.
Kane, C and Schoenauer, M (1996) Topological optimum design using genetic algorithms. Control and Cybernetics 25, 10591088.
Kaplan, S (1987) Aesthetics, affect, and cognition: environmental preference from an evolutionary perspective. Environment and Behavior 19, 332.
Kilman, C (2016) Small house, big impact: the effect of tiny houses on community and environment (PDF). Undergraduate Journal of Humanistic Studies (Carleton College),vol.2, Winter 2016.
Mars, A and Grabska, E (2015) Towards an implementable aesthetic measure for collaborative architecture design. In Luo Y (eds), Proceedings of the 12th International Conference on Cooperative Design, Visualization, and Engineering. CDVE 2015. Lecture Notes in Computer Science, Vol. 9320. Cham: Springer, pp. 72–75.
Mitchell, M (1996) An Introduction to Genetic Algorithms. Cambridge, MA, USA: MIT Press Cambridge.
Rozenberg, G (1997). Handbook of Graph Grammars and Computing by Graph Transformations: Volume 1. Foundations. London: World Scientific.
Santosa, H and Fauziah, N (2016) Aesthetic Evaluation of Restaurants Facade Through Public Preferences and Computational Aesthetic Approach. Proceedings of the 8th International Conference on Architecture Research and Design (AR+DC), November 1–2, 2016. Indonesia: Institut Teknologi Sepuluh (ITS), pp. 31–40.
Schnier, T and Gero, JS (1996) Learning representations for creative design using evolution. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 10, 175177.
Scruton, R (1979) The Aesthetics of Architecture. Princeton, NJ: Princeton University Press.
Simon, H (1975) Style in design. In Eastman, C (ed), Spatial Synthesis in Computer-Aided Building Design. London: Applied Science, pp. 287309.
Ślusarczyk, G, Strug, B and Stasiak, K (2016) An ontology-based graph approach to support buildings design conformity with a given style. Applied Ontology 11, 279300.
Strug, B, Grabska, E and Ślusarczyk, G (2014). Supporting the design process with hypergraph genetic operators. Advanced Engineering Informatics 28, 1127.
Strug, B, Ślusarczyk, G and Grabska, E (2017) Design patterns in generation of artefacts in required styles. Proc. Int. Conf. Generative Art 2016, GA'16, Domus Argenia Publisher, Milan, pp. 71–78.
Tarko, J and Grabska, E (2011) Aesthetic measure for three-dimensional objects. Machine Graphics and Vision 20, 439454.
Tjalve, E (1979) A Short Course in Industrial Design. London: Newnes-Butterworths.
Wallendorf, M, Zinkhan, G and Zinkhan, LS (1981) Cognitive complexity and aesthetic preference. In Hirschman, EC and Holbrook, MB (eds), SV – Symbolic Consumer Behaviour. New York: Association for Consumer Research, pp. 5259.
Whitfield, TWA and Slatter, PE (1979) The effects of categorisation and prototypicality on aesthetic choice in a furniture selection task. British Journal of Psychology 70, 6575.
Wong, SSY and Chan, KCC (2009) EvoArch: an evolutionary algorithm for architectural layout design. Computer-Aided Design 41, 649667.

Keywords

Design characteristics and aesthetics in evolutionary design of architectural forms directed by fuzzy evaluation

  • Agnieszka Mars (a1), Ewa Grabska (a1), Grażyna Ślusarczyk (a1) and Barbara Strug (a1)

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed.