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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	sigradi2006_e183a
id	sigradi2006_e183a
authors	Costa Couceiro, Mauro
year	2006
title	La Arquitectura como Extensión Fenotípica Humana - Un Acercamiento Basado en Análisis Computacionales [Architecture as human phenotypic extension – An approach based on computational explorations]
source	SIGraDi 2006 - [Proceedings of the 10th Iberoamerican Congress of Digital Graphics] Santiago de Chile - Chile 21-23 November 2006, pp. 56-60
summary	The study describes some of the aspects tackled within a current Ph.D. research where architectural applications of constructive, structural and organization processes existing in biological systems are considered. The present information processing capacity of computers and the specific software development have allowed creating a bridge between two holistic nature disciplines: architecture and biology. The crossover between those disciplines entails a methodological paradigm change towards a new one based on the dynamical aspects of forms and compositions. Recent studies about artificial-natural intelligence (Hawkins, 2004) and developmental-evolutionary biology (Maturana, 2004) have added fundamental knowledge about the role of the analogy in the creative process and the relationship between forms and functions. The dimensions and restrictions of the Evo-Devo concepts are analyzed, developed and tested by software that combines parametric geometries, L-systems (Lindenmayer, 1990), shape-grammars (Stiny and Gips, 1971) and evolutionary algorithms (Holland, 1975) as a way of testing new architectural solutions within computable environments. It is pondered Lamarck´s (1744-1829) and Weismann (1834-1914) theoretical approaches to evolution where can be found significant opposing views. Lamarck´s theory assumes that an individual effort towards a specific evolutionary goal can cause change to descendents. On the other hand, Weismann defended that the germ cells are not affected by anything the body learns or any ability it acquires during its life, and cannot pass this information on to the next generation; this is called the Weismann barrier. Lamarck’s widely rejected theory has recently found a new place in artificial and natural intelligence researches as a valid explanation to some aspects of the human knowledge evolution phenomena, that is, the deliberate change of paradigms in the intentional research of solutions. As well as the analogy between genetics and architecture (Estévez and Shu, 2000) is useful in order to understand and program emergent complexity phenomena (Hopfield, 1982) for architectural solutions, also the consideration of architecture as a product of a human extended phenotype can help us to understand better its cultural dimension.
keywords	evolutionary computation; genetic architectures; artificial/natural intelligence
series	SIGRADI
email
last changed	2016/03/10 09:49

_id	sigradi2006_e028c
id	sigradi2006_e028c
authors	Griffith, Kenfield; Sass, Larry and Michaud, Dennis
year	2006
title	A strategy for complex-curved building design:Design structure with Bi-lateral contouring as integrally connected ribs
source	SIGraDi 2006 - [Proceedings of the 10th Iberoamerican Congress of Digital Graphics] Santiago de Chile - Chile 21-23 November 2006, pp. 465-469
summary	Shapes in designs created by architects such as Gehry Partners (Shelden, 2002), Foster and Partners, and Kohn Peterson and Fox rely on computational processes for rationalizing complex geometry for building construction. Rationalization is the reduction of a complete geometric shape into discrete components. Unfortunately, for many architects the rationalization is limited reducing solid models to surfaces or data on spread sheets for contractors to follow. Rationalized models produced by the firms listed above do not offer strategies for construction or digital fabrication. For the physical production of CAD description an alternative to the rationalized description is needed. This paper examines the coupling of digital rationalization and digital fabrication with physical mockups (Rich, 1989). Our aim is to explore complex relationships found in early and mid stage design phases when digital fabrication is used to produce design outcomes. Results of our investigation will aid architects and engineers in addressing the complications found in the translation of design models embedded with precision to constructible geometries. We present an algorithmically based approach to design rationalization that supports physical production as well as surface production of desktop models. Our approach is an alternative to conventional rapid prototyping that builds objects by assembly of laterally sliced contours from a solid model. We explored an improved product description for rapid manufacture as bilateral contouring for structure and panelling for strength (Kolarevic, 2003). Infrastructure typically found within aerospace, automotive, and shipbuilding industries, bilateral contouring is an organized matrix of horizontal and vertical interlocking ribs evenly distributed along a surface. These structures are monocoque and semi-monocoque assemblies composed of structural ribs and skinning attached by rivets and adhesives. Alternative, bi-lateral contouring discussed is an interlocking matrix of plywood strips having integral joinery for assembly. Unlike traditional methods of building representations through malleable materials for creating tangible objects (Friedman, 2002), this approach constructs with the implication for building life-size solutions. Three algorithms are presented as examples of rationalized design production with physical results. The first algorithm [Figure 1] deconstructs an initial 2D curved form into ribbed slices to be assembled through integral connections constructed as part of the rib solution. The second algorithm [Figure 2] deconstructs curved forms of greater complexity. The algorithm walks along the surface extracting surface information along horizontal and vertical axes saving surface information resulting in a ribbed structure of slight double curvature. The final algorithm [Figure 3] is expressed as plug-in software for Rhino that deconstructs a design to components for assembly as rib structures. The plug-in also translates geometries to a flatten position for 2D fabrication. The software demonstrates the full scope of the research exploration. Studies published by Dodgson argued that innovation technology (IvT) (Dodgson, Gann, Salter, 2004) helped in solving projects like the Guggenheim in Bilbao, the leaning Tower of Pisa in Italy, and the Millennium Bridge in London. Similarly, the method discussed in this paper will aid in solving physical production problems with complex building forms. References Bentley, P.J. (Ed.). Evolutionary Design by Computers. Morgan Kaufman Publishers Inc. San Francisco, CA, 1-73 Celani, G, (2004) “From simple to complex: using AutoCAD to build generative design systems” in: L. Caldas and J. Duarte (org.) Implementations issues in generative design systems. First Intl. Conference on Design Computing and Cognition, July 2004 Dodgson M, Gann D.M., Salter A, (2004), “Impact of Innovation Technology on Engineering Problem Solving: Lessons from High Profile Public Projects,” Industrial Dynamics, Innovation and Development, 2004 Dristas, (2004) “Design Operators.” Thesis. Massachusetts Institute of Technology, Cambridge, MA, 2004 Friedman, M, (2002), Gehry Talks: Architecture + Practice, Universe Publishing, New York, NY, 2002 Kolarevic, B, (2003), Architecture in the Digital Age: Design and Manufacturing, Spon Press, London, UK, 2003 Opas J, Bochnick H, Tuomi J, (1994), “Manufacturability Analysis as a Part of CAD/CAM Integration”, Intelligent Systems in Design and Manufacturing, 261-292 Rudolph S, Alber R, (2002), “An Evolutionary Approach to the Inverse Problem in Rule-Based Design Representations”, Artificial Intelligence in Design ’02, 329-350 Rich M, (1989), Digital Mockup, American Institute of Aeronautics and Astronautics, Reston, VA, 1989 Schön, D., The Reflective Practitioner: How Professional Think in Action. Basic Books. 1983 Shelden, D, (2003), “Digital Surface Representation and the Constructability of Gehry’s Architecture.” Diss. Massachusetts Institute of Technology, Cambridge, MA, 2003 Smithers T, Conkie A, Doheny J, Logan B, Millington K, (1989), “Design as Intelligent Behaviour: An AI in Design Thesis Programme”, Artificial Intelligence in Design, 293-334 Smithers T, (2002), “Synthesis in Designing”, Artificial Intelligence in Design ’02, 3-24 Stiny, G, (1977), “Ice-ray: a note on the generation of Chinese lattice designs” Environmental and Planning B, volume 4, pp. 89-98
keywords	Digital fabrication; bilateral contouring; integral connection; complex-curve
series	SIGRADI
email
last changed	2016/03/10 09:52

_id	2006_904
id	2006_904
authors	Gurer, Ethem and Gulen Cagdas
year	2006
title	A Multi-Level Fusion of Evolutionary Design Processes
doi	https://doi.org/10.52842/conf.ecaade.2006.904
source	Communicating Space(s) [24th eCAADe Conference Proceedings / ISBN 0-9541183-5-9] Volos (Greece) 6-9 September 2006, pp. 904-907
summary	Evolutionary design methodologies generally aim to present new form-finding processes, where nature-based approaches are used, such as self-organization, genetic algorithms etc. This paper aims to present a new architectural design approach that focuses on integrating these different evolutionary methods in an emergent process. The main goal is to achieve a high-level of integration where lacking qualities of each evolutionary method are completed by the other one in a synergic and especially emergent behavior.
keywords	Evolutionary design; morphogenetic; self-organization; emergence
series	eCAADe
email
last changed	2022/06/07 07:50

_id	ddss2006-hb-419
id	DDSS2006-HB-419
authors	Hung-Ming Cheng
year	2006
title	Generative Design in an Evolutionary Procedure - An approach of genetic programming
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) 2006, Innovations in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Springer, ISBN-10: 1-4020-5059-3, ISBN-13: 978-1-4020-5059-6, p. 419-431
summary	This study describes a procedural design studio using Genetic Programming as the evolutionary mechanism and formal generation. This procedural design is integrated with a visualisation interface, which allows designers to interact and select from instances for design evolution. Evolutionary design facilitates designers in three areas: 1) diversify instances of design options; 2) inspect specific goals; 3) and enhance the possibility of discovering various potential solutions.
keywords	Artificial intelligent, Genetic algorithm, Generative design tools, Procedural design studio, Design exploration
series	DDSS
last changed	2006/08/29 12:55

_id	ijac20053402
id	ijac20053402
authors	Janssen, Patrick H.T.; Frazer, John H.; Tang, Ming-Xi
year	2005
title	A Framework For Generating And Evolving Building Designs
source	International Journal of Architectural Computing vol. 3 - no. 4, 449-470
summary	This paper describes a comprehensive framework for generative evolutionary design. The key problem that is identified is generating alternative designs with an appropriate level of variability. Within the proposed framework, the design process is split into two phases: in the first phase, the design team develops and encodes the essential and identifiable character of the designs to be generated and evolved; in the second phase, the design team uses an evolutionary system to generate and evolve designs that embody this character. This approach allows design variability to be carefully controlled. In order to verify the feasibility of the proposed framework, a generative process capable of generating controlled variability is implemented and demonstrated.
series	journal
more	http://www.ingentaconnect.com/content/mscp/ijac/2006/00000004/00000001/art00002
last changed	2007/03/04 07:08

_id	ascaad2006_paper12
id	ascaad2006_paper12
authors	Katodrytis, George
year	2006
title	The Autopoiesis and Mimesis of Architecture
source	Computing in Architecture / Re-Thinking the Discourse: The Second International Conference of the Arab Society for Computer Aided Architectural Design (ASCAAD 2006), 25-27 April 2006, Sharjah, United Arab Emirates
summary	The use of digital technology in architecture has proven to be more assertive than originally thought: it has reconditioned the nature of the design process, and established new practices and techniques of fabrication. The 21st century began with the technology of art. There is a new responsiveness to the reading and understanding of digital space, which is characterized by complexity and the uncanny. Recent applications in digital technology show inquisitiveness in the contentious subject Genetic Algorithms. This new architectural process is characterized by two main shifts: from poiesis (or poetry) to autopoiesis, and from authenticity to mimesis. Since evolutionary simulations give rise to new forms rather than design them, architects should now be artists and operators of both Inventive and Systematic design. Inventive design: The digital media should bring about poiesis (poetry). Digital spaces reveal and visualize the unconscious desires of urban spaces and bring forth new dreamscapes, mysterious and surreal. This implies a Freudian spatial unconscious, which can be subjected to analysis and interpretation. “Space may be the projection or the extension of the physical apparatus”, Freud noted1. Space is never universal, but subjective. A space would be a result of introjection or projection – which is to say, a product of the thinking and sensing subject as opposed to the universal and stable entity envisaged since the Enlighten. There is a spatial unconscious, susceptible to analysis and interpretation. Systematic Design: Digital media should bring about an autopoiesis. This approach calls into question traditional methods of architectural design – which replace the hierarchical processes of production known as “cause and effect” - and proposes a design process where the architect becomes a constructor of formal systems. Will the evolutionary simulation replace design? Is metric space dead? Is it replaced by the new definition of space, that of topology? The new algorithmic evolutionary conditions give architecture an autopoiesis, similar to biological dynamics. The use of algorithms in design and fabrication has shifted the role of the architect from design to programming. Parametric design has introduced another dimension: that of variation and topological evolution, breaking the authentic into the reused. Architecture now is about topology than typology, variation than authenticity, it is mimetic than original, uncanny and subconscious than merely generic. In a parallel universe, which is both algorithmic and metaphysical, the modeling machine creates a new abstraction, the morphogenesis of the “new hybrid condition”. The emphasis of the exploration is on morphological complexity. Architecture may become – paradoxically - rigorous yet more uncanny and introverted.
series	ASCAAD
email
last changed	2007/04/08 19:47

_id	caadria2012_036
id	caadria2012_036
authors	Kaushik, Vignesh Srinivas and Patrick Janssen
year	2012
title	Multi-criteria evolutionary optimisation of building enveloped during conceptual stages of design
doi	https://doi.org/10.52842/conf.caadria.2012.497
source	Proceedings of the 17th International Conference on Computer Aided Architectural Design Research in Asia / Chennai 25-28 April 2012, pp. 497–506
summary	This paper focuses on using evolutionary algorithms during conceptual stages of design process for multi-criteria optimisation of building envelopes. An experiment is carried out in optimising a panelled building envelope. The design scenario for the experiment is based on the scenario described in Shea et al. (2006) for the building envelope of the Media Centre Building in Paris. However, in their research, the optimisation process only allowed panel configuration to be optimised. In this paper, the task is to approach the optimisation of the envelope of the same building, assuming it to be in the early phases of the design process. The space of possible solutions is therefore assumed to be much wider, and as a result both external building form and internal layout of functional activities are allowed to vary. The performance intent of the experiment remains the same as that of Shea et al. (2006), which was to maximise daylight and minimise afternoon direct sun hours in the building at certain specific locations.
keywords	Multi-criteria optimisation; building envelopes; conceptual stages of design evolutionary algorithms; parametric design
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2006_227
id	caadria2006_227
authors	KENFIELD GRIFFITH, LARRY SASS
year	2006
title	COMPUTING & MATERIALIZING NON-UNIFORM SHAPES: An evolutionary approach to generate and digital fabricate non-uniform masonry walls
doi	https://doi.org/10.52842/conf.caadria.2006.x.m4e
source	CAADRIA 2006 [Proceedings of the 11th International Conference on Computer Aided Architectural Design Research in Asia] Kumamoto (Japan) March 30th - April 2nd 2006, 227-235
summary	A novel evolutionary system used for the production of design information for digital fabrication is presented. This program generates information for physical construction as architectural models of double-curved walls built from unique masonry units. We present a series of computer programs and physical models as examples of straight and curved walls generated from an evolutionary system built for design. The wall examples here are built of non-uniform, interlocking units. This project is an exploration of evolutionary design tools that construct double-curved structures in CAD for fabrication with a 3D printer.
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	sigradi2006_e011c
id	sigradi2006_e011c
authors	Narahara, Taro and Terzidis, Kostas
year	2006
title	Optimal Distribution of Architecture Programs with Multiple-constraint Genetic Algorithm
source	SIGraDi 2006 - [Proceedings of the 10th Iberoamerican Congress of Digital Graphics] Santiago de Chile - Chile 21-23 November 2006, pp. 299-303
summary	A genetic algorithm (GA) is a search technique for optimizing or solving a problem based on evolutionary biology, using terms and processes such as genomes, chromosomes, cross-over, mutation, or selection. The evolution starts from a population of completely random individuals and happens in generations. In each generation, the fitness of the whole population is evaluated, multiple individuals are stochastically selected from the current population (based on their fitness), modified (mutated or recombined) to form a new population, which becomes current in the next iteration of the algorithm. In architecture, GAs are of special interest mainly because of their ability to address a problem offering a multiplicity of possible solutions. Contrary to other algorithms where the objective is to accommodate a manually conceived diagram, GAs are emergent procedures that evolve over time through multiple attempt cycles (i.e. generations) and therefore offer a bottom-up approach to design. In addition, by using the computational power of computers they can resolve complex interactions between multiple factors and under multiple constraints offering solutions that occasionally surprise the designer. One of the main problems in architecture today is the quantity of the information and the level of complexity involved in most building projects. As globalization and economic development has started to arise at unprecedented levels, the need for large urban developments have become commonplace. Housing projects for a few hundreds to thousands of people have started to emerge over large urban areas. In such cases, the old paradigm for housing design was the development of high rises that served as stacking devices for multiple family housing units. Such a direction was unfortunately the only way to address excessive complexity using manual design skills mainly because it was simple to conceive but also simple to construct. The unfortunate nature of this approach lies rather in the uniformity, similarity, and invariability that these projects express in comparison to individuality, discreteness, and identity that human beings and families manifest. One of the main areas of complexity that could benefit architecture is in housing projects. In these projects there is a typology of residential units that need to be combined in various schemes that will fulfill multiple functional, environmental, and economic constraints. In this paper, the design of a 200-unit residential complex on a corner of two streets in an urban context was investigated as a case study. Recent advancement in tectonics and structural engineering enables the realization of buildings in mega scales and starts to introduce another layer of complexity into the building programs. Conventional design methods relying on the preconceived knowledge based approaches are no longer reliable. Beyond the certain quantitative factors and the complexity of the problems, search occasionally enters into the unpredictable domain of the human perception. Computational approaches to design allows us to go through thousands of iterations in a second and find the solution sets beyond the reach of designers’ intuitive search spaces. Genetic Algorithm can be a potential derivative for finding optimum design solution from indeterminate search spaces constrained by multi dimensional factors.
keywords	Genetic Algorithm; Housing Design; Multiple-constraint
series	SIGRADI
email
last changed	2016/03/10 09:55

_id	acadia06_158
id	acadia06_158
authors	Barrow, Larry R.
year	2006
title	Digital Design and Making 30 Years After
doi	https://doi.org/10.52842/conf.acadia.2006.158
source	Synthetic Landscapes [Proceedings of the 25th Annual Conference of the Association for Computer-Aided Design in Architecture] pp. 158-177
summary	Current design studio pedagogy is undergoing significant change as the means and methods of ideation, representation and making evolve with digital tools; Computer-Aided-Design-Computer-Aided-Manufacturing (CADCAM) remains a contentious topic among many studio instructors and faculty in the academy. Computing is now nearing ubiquity; many processes and products have seen significant evolutionary trends, if not revolutionary transformations; this is no less the case in the academic and firm design studio. The impact of “digital” media and CADCAM, in the design-make process, remains obscure and formally unknown.In this paper, we will review our research and findings from the work of three students; two current students who were in our Digital Design II (DDII) spring 2006 course and the third student, the writer, will reflect on “design and making” from a “pre-architecture” and pre-studio/pre-computer (CADCAM) perspective of ‘making’ thirty-three years ago. The research findings provide universal precepts pertinent to current thinking about emerging studio pedagogy. Our findings suggest that computing technology should be introduced at the outset of design education for the beginning student in basic design studio; and moreover, advanced designers can partner with “digital” tools to ideate and realize their, heretofore unrepresentable and unconstructable, ideas in the early stages of design using CADCAM.
series	ACADIA
email
last changed	2022/06/07 07:54

_id	sigradi2006_c017c
id	sigradi2006_c017c
authors	de la Barrera Poblete, Carlos Ignacio
year	2006
title	Algoritmos Evolutivos como Modelo Propositivo de Diseño [Evolutionary Algorithms for Supple Design Systems]
source	SIGraDi 2006 - [Proceedings of the 10th Iberoamerican Congress of Digital Graphics] Santiago de Chile - Chile 21-23 November 2006, pp. 273-277
summary	The study uses a repetitive rule of geometric and arithmetical expression, cradle in the movement of the horse in the chess, as displacement continued within a well-known field. Each jump is an iteration of the algorithm, and does that a gene initiator mute, varying its genetic information in its chromosome. This Evolutionary Algorithm is used like an explorer of the space, which tends to move according to a pre-established atmosphere in the programming. The Evolutionary Algorithm imitates the biological evolution as strategy to solve design problems. Its unexpected answers and without direct intervention of a designer, is a family of forms with small variations among them, where each member is a possible solution to the problem. The Generative Calculation depends on its rules, and in this sense he is as genuine as the behaviour of any natural biological system.
series	SIGRADI
email
last changed	2016/03/10 09:50

_id	7987
id	7987
authors	Dimitrios Makris, Ioannis Havoutis, Georges Miaoulis, Dimitri Plemenos
year	2006
title	MultiCAD – MOGA A System for Conceptual Style Design of Buildings
source	Conference Proceedings of the 9th 3IA (2006) International Conference on Computer Graphics and Artificial Intelligence, p73-84
summary	The synthesis of the three-dimensional morphology of a building is one of the most important tasks in architecture. Space planning and morphology are of the most interesting and complex of architectural design problems. Architectural design is guided by the constraints on the spatial composition and the morphology of the final building. During the conceptual phase problems are characterised by fuzziness and complexity. Building requirements are ill-defined and contradictory. The designer should explore the solution space for alternative building solutions while refining requirements and style preferences. In this paper we present the development and implementation of an Evolutionary Declarative Design system prototype for the aid of conceptual style design of buildings. The system is a specific MultiCAD prototype system including architectural knowledge, architectural style and a multi-objective genetic algorithm. Two design cases are presented for two different architectural styles. The applicability and efficiency of the system prototype are discussed.
keywords	declarative modelling, evolutionary design, multi-objective genetic algorithms, architectural conceptual design, constraints
series	other
type	normal paper
email
more	http://3ia.teiath.gr/3ia_previous_conferences_cds/2006/Papers/Full/Makris_8.pdf
last changed	2007/11/29 15:55

_id	a126
id	a126
authors	Finucane E, Derix C and Coates P
year	2006
title	Evolving Urban Structures using Computational Optimisation
source	Proceedings of the Generative Arts conference, Milan, 2006
summary	This paper investigates the use of computer analogies for naturally inspired optimisation techniques as an aid to developing the site layout and massing for the new World Trade Centre development in Pristina Kosovo, which is being designed and developed by 4M Group architectural company, in conjunction with the Advanced Modelling Group Aedas. The development of a genetic algorithm will incorporate various techniques, that have been developed in the field of multi-objective optimisation, to create three dimensional massing models, and site layout solutions which partially fulfil the Prisina brief requirements, which are taken from specifications created by 4M Group. Genetic algorithms are based on natural evolutionary principles which are explained in this paper. It will incorporate Pareto concepts to manage the optimisation of the various objective functions. For example, these will include volume and position of units, which will ensure that the different and sometime conflicting needs of the site are balanced throughout the optimisation. This type of problem is often known as an NP-complete (non-determinate polynomial time) problem. This will provide architects and planners with a number of Pareto optimised site massing solutions as an aid to the design process. An initial investigation into the specifics of the Pristina site requirements, will be followed by an investigation into the the genetic algorithm which is created in Visual Basic for Applications (VBA) linked with AutoCAD as the graphical output of the code. The embryology (development) of the various solutions from the genetic information incorporates an ‘ant’ pheromone trail model, which simulates the action of ants during food foraging, as a tool for initial route planning within the site. Diffusion and cellular automata are used during the development of the solution to construct the massing for the site.
keywords	urban planning, evolutionary algorithms, pareto optimization, Lindenmayer systems, ant-colony optimization, cellular automaton
series	other
type	normal paper
email
more	http://www.generativeart.com/
last changed	2012/09/20 18:33

_id	caadria2006_637
id	caadria2006_637
authors	J. JINU LOUISHIDHA KITCHLEY
year	2006
title	GENERATIVE EVOLUTIONARY DESIGN AND EVALUATION OF CLUSTER SETTLEMENT PATTERNS
doi	https://doi.org/10.52842/conf.caadria.2006.x.w5t
source	CAADRIA 2006 [Proceedings of the 11th International Conference on Computer Aided Architectural Design Research in Asia] Kumamoto (Japan) March 30th - April 2nd 2006, 637-639
summary	This project proposes a generative model for a layout of an organic settlement, in particular fishermen’s settlements. It attempts to harness and integrate some of the qualities of organic design process into computer-aided design, capture the complexities of an organic solution and apply it to the housing design decisions. The two complementary fields of Shape Grammar and Generative Evolutionary Design have been converged for this purpose. Shape Grammar is used to extract the style and aspects of organically evolved fisherman’s housing settlement. Generative Evolutionary Design which uses genetic algorithms as a search mechanism is used to explore alternatives and to evaluate the generated design for its functional and usability values and identify the fitter solutions.
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	caadria2006_179
id	caadria2006_179
authors	KEATRUANGKAMALA K., NILKAEW P.
year	2006
title	STRONG VALID INEQUALITY CONSTRAINTS FOR ARCHITECTURAL LAYOUT DESIGN OPTIMIZATION
doi	https://doi.org/10.52842/conf.caadria.2006.x.w5d
source	CAADRIA 2006 [Proceedings of the 11th International Conference on Computer Aided Architectural Design Research in Asia] Kumamoto (Japan) March 30th - April 2nd 2006, 179-185
summary	In the past decades, many attempts have been made to solve the challenging architectural layout design problem such as non-linear programming and evolutionary algorithm (Michalek and Papalambros, 2002). The Mixed Integer Programming (MIP) (Kamol and Krung, 2005) was recently developed to find the global optimal solution. However, the problem can be shown to belong to the class of NP-hard problem (Michalek and Papalambros, 2002). Hence, only the small instances of the problem can be solved in a reasonable time. In order to deal with large problem sizes, this paper utilizes the strong valid inequalities (George and Laurence). It cut off the infeasible points in the integral search space by formulated the disconnected constraints involved with line configurations of three rooms. It is shown to significantly increase the computational speed to more than thirty percents. This exhibits the practical use of the MIP formulation to solve the medium size architectural layout design problems.
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	ddss2006-hb-167
id	DDSS2006-HB-167
authors	Michael Balmer and Kai Nagel
year	2006
title	Shape Morphing of Intersection Layouts Using Curb Side Oriented Driver Simulation
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) 2006, Innovations in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Springer, ISBN-10: 1-4020-5059-3, ISBN-13: 978-1-4020-5059-6, p. 167-183
summary	In a traffic network, capacities of parts of the network restrict the amount of transport that can be handled by this network. The capacity of a given traffic network element is not fixed, but influenced by parameters such as number of lanes, maximum speed, weather, view horizon, and so on. These parameters also define the maximum capacity of complicated intersections. Special shapes of intersections, particularly in urban regions, may further increase or decrease their capacity. This paper investigates an evolutionary algorithm to automatically improve the geometrical layout of parts of an urban network according to externally specified criteria. The paper consists of two main parts. In the first part, a simulation model is described which is able to produce realistically behaving vehicles only by using information about the curb side locations of the roads. This avoids the need to use lane connectivity, signal plans, etc. - which are details that would change during a change of the intersection layout. In the second part of the paper, the simulation changes the road and intersection layouts based on the behaviour of the vehicles. Using a feedback loop allows one to optimize the capacity of the modelled road system while its spatial extents are minimized. As a case study, a special roundabout is examined: 'Central' in downtown Zurich, Switzerland. The particularity of this roundabout is that it partially behaves like a roundabout but also contains two uncontrolled intersections. Due to its central position in the city, the roundabout is very busy with both individual cars and public transport vehicles.
keywords	Agent simulation method, Intersection layout, Evolutionary algorithm
series	DDSS
last changed	2006/08/29 12:55

_id	acadia06_230
id	acadia06_230
authors	Anzalone, Phillip
year	2006
title	Synthetic Research
doi	https://doi.org/10.52842/conf.acadia.2006.230
source	Synthetic Landscapes [Proceedings of the 25th Annual Conference of the Association for Computer-Aided Design in Architecture] pp. 230-231
summary	Synthetic Research insinuates a relationship of a meticulous process of discovering truth contradicted against a fabricated, as in concocted, reality. It is important to recognize the logical aspect of synthetic when examining what synthetic research can provide for architectural discourse. Synthesis contrasts with analysis in that it’s primary methods involve recourse to experience; it is experience that is at the heart of synthetic research. The synthesis of theory, architectural constructions, technological artifacts and computational techniques requires experiencing the results of experimentation. Synthetic digital architecture necessitates a discovery process incorporating creation that allows for experience, be it virtual reality, full-scale prototyping or spatial creations; provided experience is a truthful one, and not disingenuous and thereby slipping into the alternate definition of synthetic.Research’s experimental arm, as opposed to the analytic, relies on tinkering - implying the unfinished, the incomplete, the prototype. Examples of this are everywhere. Computer screenshots are a strikingly literal example of synthetic research when used as a means of experiencing a process. Performance mock-ups of building assemblies are a method of synthetic research in that one experiences a set of defined performances in order to discover and redefine the project. The watchmaker craft is an exercise in research/experimentation where material properties are inherent in function and aesthetics; consider how the components interact with the environment - motion, gravity, space-time, temperature. Efficiency at this point is predominantly structural and physical. Decorative or aesthetic elements are applied or integrated in later iterations along with optimization of performance, marketing and costs.What is a architectural research? How can research synthesize the wide range of possibilities for the trajectory of architecture when engaged in digital and computational techniques? The goals, techniques, documentation and other methods of research production have a place in architecture that must be explored, particularly as it related to computation. As in other fields, we must build a legitimate body of research whereby others can use and expand upon, such that digital architectures evolve in innovative as well as prosperous paths.
series	ACADIA
email
last changed	2022/06/07 07:54

_id	sigradi2006_e070c
id	sigradi2006_e070c
authors	Cardoso, Daniel
year	2006
title	Controlled Unpredictability: Constraining Stochastic Search as a Form-Finding Method for Architectural Design
source	SIGraDi 2006 - [Proceedings of the 10th Iberoamerican Congress of Digital Graphics] Santiago de Chile - Chile 21-23 November 2006, pp. 263-267
summary	Provided with a strict set of rules a computer program can perform the role of a simple designer. Taking advantage of a computer’s processing power, it can also provide an unlimited number of variations in the form while following a given set of constraints. This paper delineates a model for interrelating a rule-based system based on purely architectural considerations with non-deterministic computational procedures in order to provide controlled variations and constrained unpredictability. The experimental model consists of a verisimilar architectural problem, the design of a residential tower with a strict program of 200 units of different types in a given site. Following the interpretation of the program, a set of rules is defined by considering architectural concerns such as lighting, dimensions, circulations, etc. These rules are then encoded in a program that generates form in an unsupervised manner by means of a stochastic search algorithm. Once the program generates a design it’s evaluated, and the parameters on the constraints are adjusted in order to produce a new design. This paper presents a description of the architectural problem and of the rule building process, images and descriptions of three different towers produced, and the code for the stochastic-search algorithm used for generating the form. The succesful evolution of the experiments show how in a computation-oriented design process the interpretation of the problem and the rule setting process play a major role in the production of meaningful form, outlining the shifting role of human designers from form-makers to rule-builders in a computation-oriented design endeavour.
keywords	Architectural Design; Stochastic; Random; Rule-based systems; Form-generation
series	SIGRADI
email
last changed	2016/03/10 09:48

_id	2006_826
id	2006_826
authors	Colakoglu, Birgul
year	2006
title	Explorations in Teaching Design Students to Think and Produce Computationally
doi	https://doi.org/10.52842/conf.ecaade.2006.826
source	Communicating Space(s) [24th eCAADe Conference Proceedings / ISBN 0-9541183-5-9] Volos (Greece) 6-9 September 2006, pp. 826-831
summary	This paper describes a dynamic teaching model developed to explore new intellectual and theoretical directions of design generation. It utilizes shape grammars as a pedagogical tool for introducing the concept of design computing to graduate students of architecture without a background in computation theory. The teaching model has developed in two parallel run courses: 1-Introduction to Computational Logic in Design: a visual generative design tool shape grammar is used as a tool to teach design students computational logic, 2- Designing the Design: The design students are introduced with the new language and method of designing. Examples from the Computational Design graduate curriculum at Yildiz Technical University are given to illustrate explorations in this new teaching of design.
keywords	Computational design; shape grammars; design education
series	eCAADe
email
last changed	2022/06/07 07:56

_id	2006_302
id	2006_302
authors	Dounas, Theodoros and Anastasios M. Kotsiopoulos
year	2006
title	Generation of alternative designs in architectural problems using Shape Grammars defined with animation tools - A computer implementation of shape grammars using modelling and animation software
doi	https://doi.org/10.52842/conf.ecaade.2006.302
source	Communicating Space(s) [24th eCAADe Conference Proceedings / ISBN 0-9541183-5-9] Volos (Greece) 6-9 September 2006, pp. 302-307
summary	We present a model of generation of alternative designs to selected architectural and spatial configurations of small complexity. Specifically we present a production pipeline of architectural / spatial configurations using the context of animation and time based design tools. Our model consists of time and space design constraints of boundaries / objects affecting a given architectural design, thus producing an alternative solution for every timeframe of the animation cycle. The alternative designs vary from the original according to their temporal and/or spatial distance from the original object on the animation time-line. The constraints placed upon the objects , used as actuators of Shape Grammars, are defined informally by the user/designer while their influence can vary according to time, speed, location, configuration of the object and/or the constraint itself. However the constraints further function as formal rules for the Shape Grammar creation so that our model tries to predict ahead of time the emergence of alternate designs. The employ of animation tools [shape driven curves, speed and time-line functions,parent child relationships] in the shape generation of our model empowers the user/designer to configure whole sets of shapes and designs interactively and without the need to define every solution independently. Simultaneously, a different, time-focused view of our model describes its use on designs that develop different configurations over time. Thus a duality of our model is established: either the animated schema may be a sum or family of various designs or the animated time-line represents a single design which changes over time. Finally the possibility of an automated analysis of every design is discussed, using Space Syntax diagrams so the designer can quickly evaluate the various spatial configurations produced by a single original.
keywords	shape computation; shape grammar computer implementation; alternative designs; animation software techniques
series	eCAADe
email
last changed	2022/06/07 07:55

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