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Hierarchical structuring of layout problems in an interactive evolutionary layout system

  • Reinhard Koenig (a1) and Sven Schneider (a1)

Abstract

This paper focuses on computer-based generative methods for layout problems in architecture and urban planning with special regard for the hierarchical structuring of layout elements. The generation of layouts takes place using evolutionary algorithms, which are used to optimize the arrangement of elements in terms of overlapping within a given boundary and the topological relations between them. In this paper, the approach is extended by a data structure that facilitates the hierarchical organization of layout elements making it possible to structure and organize larger layout problems into subsets that can be solved in parallel. An important aspect for the applicability of such a system in the design process is an appropriate means of user interaction. This depends largely on the calculation speed of the system and the variety of viable solutions. These properties are evaluated for hierarchical as well as for nonhierarchical structured layout problems.

Copyright

Corresponding author

Reprint requests to: Reinhard Koenig, Department of Computer Science in Architecture, Bauhaus-University Weimar, Belvederer Allee 1, Weimar 99423, Germany. E-mail: reinhard.koenig@uni-weimar.de

References

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Arvin, S.A., & House, D.H. (2002). Modeling architectural design objectives in physically based space planning. Automation in Construction 11, 213225.
Bäck, T., Hoffmeister, F., & Schwefel, H.-P. (1991). A survey of evolution strategies. Proc. 4th int. Conf. Genetic Algorithms.
Batty, M., & Xie, Y. (1994). From cells to cities. Environment and Planning B: Planning and Design 21(7), 3148.
Coates, P., Healy, N., Lamb, C., & Voon, W.L. (1996). The use of cellular automata to explore bottom up architectonic rules. In Eurographics '96 (Rossignac, J., & Sillion, F., Eds.). Poitiers: Blackwell.
Coates, P., & Schmid, C. (2000). Agent based modelling. London: University of East London School of Architecture, Centre for Computing & Environment in Architecture. Accessed at http://uelceca.net/research/ECAADE/agentnotes%20the%20paper398liverpool%201999.pdf
Coello, C.A., Lamont, G.B., & Veldhuizen, D.A.V. (2007). Evolutionary Algorithms for Solving Multi-Objective Problems (2nd ed.). Berlin: Springer.
Corne, D.W., Knowles, J.D., & Martin, J.O. (2000). The Pareto envelope-based selection algorithm for multiobjective optimization. Proc. Nature VI Conference Parallel Problem Solving.
Coyne, R.F., & Flemming, U. (1990). Planning in design synthesis: abstraction-based LOOS. In Artificial Intelligence in Engineering V (Gero, J.S., Ed.), Vol. 1, pp. 91111. New York: Springer.
Deb, K. (2001). Multi-Objective Optimization Using Evolutionary Algorithms. New York: Wiley.
Duarte, J.P. (2000). Customizing Mass Housing: A Discursive Grammar for Siza's Malagueira Houses. Cambridge, MA: Massachusetts Institute of Technology.
Elezkurtaj, T. (2004). Evolutionäre Algorithmen zur Unterstützung des kreativen architektonischen Entwerfens. Wien: TU-Wien.
Elezkurtaj, T., & Franck, G. (2001). Evolutionary algorithm in urban planning. Proc. CORP 2001, Information Technology in Urban and Spatial Planning, Vienna.
Elezkurtaj, T., & Franck, G. (2002). Algorithmic support of creative architectural design. Umbau 19, 129137.
Ernst, G., & Newell, A. (1969). GPS: A Case Study in Generality and Problem Solving. New York: Academic Press.
Flemming, U. (1989). More on the representation and generation of loosely packed arrangements of rectangles. Environment and Planning B: Planning and Design 16(3), 327359.
Flemming, U., Baykan, C.A., Coyne, R.F., & Fox, M.S. (1992). Hierarchical generate-and-test vs. constraint-directed search: a comparison in the context of layout synthesis. In Artificial Intelligence in Design (Gero, J.S., Ed.), pp. 817838. Boston: Kluwer Academic.
Getzels, J.W., & Csikszentmihalyi, M. (1967). Scientific creativity. Science Journal 3, 8084.
Goldberg, D.E., & Lingle, R. (1985). Alleles, loci and the traveling salesman problem. Proc. int. Conf. Genetic Algorithms.
Harada, M., Witkin, A., & Baraff, D. (1995). Interactive physically-based manipulation of discrete/continuous models. Proc. 22nd Annual Conf. Computer Graphics and Interactive Techniques.
Hower, W. (1997). Placing computations by adaptive procedures. Artificial Intelligence in Engineering 11, 307317.
Jo, J.H., & Gero, J.S. (1998). Space layout planning using an evolutionary approach. Artificial Intelligence in Engineering 12, 149162.
Kursawe, F. (1990). A variant of evolution strategies for vector optimization. In Parallel Problem Solving from Nature, Vol. 1, pp. 193197. Berlin: Springer.
Lawson, B. (2006). How Designers Think: The Design Process Demystified (4th ed.). Oxford: Architectural Press.
Li, S.-P., Frazer, J.H., & Tang, M.-X. (2000). A constraint based generative system for floor layouts. Proc. 5th Conf. Computer Aided Architectural Design Research in Asia (CAADRIA), Singapore.
March, L., & Steadman, P. (1971). The Geometry of Environment: An Introduction to Spatial Organization in Design. London: R.I.B.A. Press.
Medjdoub, B., & Yannou, B. (2001). Dynamic space ordering at a topological level in space planning. Artificial Intelligence in Engineering 15, 4760.
Michalek, J., & Papalambros, P. (2002). Interactive design optimisation of architectural layouts. Engineering Optimization 34, 485501.
Miller, G.A. (1956). The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological Review 63, 8197.
Rechenberg, I. (1994). Evolutionsstrategie '94. Stuttgart: Frommann Holzboog.
Röpke, J. (1977). Die Strategie der Innovation: Eine systemtheoretische Untersuchung der Interaktion von Individuum Organisation und Markt im Neuerungsprozess. Tübingen: Mohr Siebeck.
Rosenman, M.A. (1997). The generation of form using an evolutionary approach. In Evolutionary Algorithms in Engineering Applications (Dasgupta, D., & Michalewicz, Z., Eds.). New York: Springer.
Ruch, J. (1978). Interactive space layout: a graph theoretical approach. Proc. 15th Design Automation Conf.
Schaffer, J.D. (1985). Multiple objective optimization with vector evaluated genetic algorithms. Proc. 1st Int. Conf. Genetic Algorithms.
Schneider, S., Fischer, J.-R., & König, R. (2010). Rethinking automated layout design—developing a creative evolutionary design method for the layout problems in architecture and urban design. Proc. Design Computing and Cognition DCC10, Stuttgart, Germany.
Schneider, S., Koenig, R., & Pohle, R. (2011). Who cares about right angles? Overcoming barriers in creating rectangularity in layout structures. Proc. eCAADe 2011: Respecting Fragile Places, Ljubljana, Slovenia.
Simon, H.A. (1969). The Sciences of the Artificial (1st ed.). Cambridge, MA: MIT Press.
Stiny, G., & Mitchell, W.J. (1978). The Palladian grammar. Environment and Planning B: Planning and Design 5(1), 518.
Weinzapfel, G., Johnson, T.E., & Perkins, J. (1971). IMAGE: an interactive computer system for multi-constrained spatial synthesis. Proc. 8th Design Automation Workshop.
Whitehead, B., & Eldars, M.Z. (1964). An approach to the optimum layout of single-storey buildings. Architects Journal 13731380.
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AI EDAM
  • ISSN: 0890-0604
  • EISSN: 1469-1760
  • URL: /core/journals/ai-edam
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