CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id 270d
authors Elezkurtaj, Tomor and Franck, Georg
year 2001
title Evolutionary Algorithms in Urban Planning
source CORP 2001, Vienna, pp. 269-272
summary The functions supported by commercial CAD software are drawing, construction and presentation. Until now, no programssupporting the creative part of architectural and urban problem solving are on the market. The grand hopes of symbolic AI ofprogramming creative architectural and urban design have been disappointed. In the meantime, methods called New AI are available.Among these methods, evolutionary algorithms are particularly promising for solving design problems. The paper presents anapproach to town panning and architectural problem solving that combines an evolutionary strategy (ES), a genetic algorithm (GA)and a Particle System. The problem that remains incapable of being solved algorithmically has to do with the fact that in architectureand urbanizm form as well as function count. Because function relates to comfort, easiness of use, and aesthetics as well, it ishopeless to fully specify the fitness function of architecture. The approach presented circumvents a full specification through dividinglabor between the software and its user. The fitness function of town plans is defined in terms only of proportions of the shapes, areasand buildings to be accommodated and topological relations between them. The rest is left to the human designer who interactivelyintervenes in the evolution game as displayed on the screen.
series other
email tomor@osiris.iemar.tuwien.ac.at
more www.corp.at
last changed 2002/12/19 11:17

_id 5007
authors Elezkurtaj, Tomor and Franck, Georg
year 1999
title Genetic Algorithms in Support of Creative Architectural Design
source Architectural Computing from Turing to 2000 [eCAADe Conference Proceedings / ISBN 0-9523687-5-7] Liverpool (UK) 15-17 September 1999, pp. 645-651
summary The functions supported by commercial CAAD software are drawing, construction and presentation. Up to now few programs supporting the creative part of architectural problem solving have become available. The grand hopes of symbolic AI to program creative architectural design have been disappointing. In the meantime, methods called referred to as New AI have become available. Such methods includegenetic algorithms (GA). But GA, though successfully applied in other fields of engineering, still waits to be applied broadly in architectural design. A main problem lies in defining function in architecture. It is much harder to define the function of a building than that of a machine. Without specifying the function of the artifact, the fitness function of the design variants participating in the survival game of artificial evolution remains undetermined. It is impossible to fully specify the fitness function of architecture. The approach presented is one of circumventing a full specification through dividing labor between the GA software and its user. The fitness function of architectural ground plans is typically defined in terms only of the proportions of the room to be accommodated and certain topological relations between them. The rest is left to the human designer who interactively intervenes in the evolution game as displayed on the screen.
keywords Genetic Algorithms, Creative Architectural Design
series eCAADe
email tomor@osiris.iemar.tuwien.ac.at, franck@osiris.iemar.tuwien.ac.at
last changed 1999/10/10 12:52

_id f91f
authors Elezkurtaj, Tomor and Franck, Georg
year 2000
title Geometry and Topology. A User-Interface to Artificial Evolution in Architectural Design
source Promise and Reality: State of the Art versus State of Practice in Computing for the Design and Planning Process [18th eCAADe Conference Proceedings / ISBN 0-9523687-6-5] Weimar (Germany) 22-24 June 2000, pp. 309-312
summary The paper presents a system that supports architectural floor plan design interactively. The method of problem solving implemented is a combination of an evolutionary strategy (ES) and a genetic algorithm (GA). The problem to be solved consists of fitting a number of rooms (n) into an outline by observing functional requirements. The rooms themselves are specified concerning size, function and preferred proportion. The functional requirements entering the fitness functions are expressed in terms of the proportions of the rooms and the neighbourhood relations between them. The system is designed to deal with one of the core problems of computer supported creativity in architecture. For architecture, form not only, but also function is relevant. Without specifying the function that a piece of architecture is supposed to fulfil, it is hard to support its design by computerised methods of problem solving and optimisation. In architecture, however, function relates to comfort, easiness of use, and aesthetics as well. Since it is extraordinary hard, if not impossible, to operationalise aesthetics, computer aided support of creative architectural design is still in its infancy.
keywords New AI, Genetic Algorithms, Artificial Evolution, creative Architectural Design, Interactive Design, Topology
series eCAADe
email tomor@osiris.iemar.tuwien.ac.at
more http://www.uni-weimar.de/ecaade/
last changed 2002/11/23 05:59

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