Cumincad : CUMINCAD Papers : Search Results

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	ecaade2012_267
id	ecaade2012_267
authors	Caldas, Luísa G. ; Santos, Luís
year	2012
title	Generation of Energy-Efficient Patio Houses with GENE_ARCH: Combining an Evolutionary Generative Design System with a Shape Grammar
source	Achten, Henri; Pavlicek, Jiri; Hulin, Jaroslav; Matejovska, Dana (eds.), Digital Physicality - Proceedings of the 30th eCAADe Conference - Volume 1 / ISBN 978-9-4912070-2-0, Czech Technical University in Prague, Faculty of Architecture (Czech Republic) 12-14 September 2012, pp. 459-470
doi	https://doi.org/10.52842/conf.ecaade.2012.1.459
wos	WOS:000330322400047
summary	GENE_ARCH is a Generative Design System that combines Pareto Genetic Algorithms with an advanced building energy simulation engine. This work explores its integration with a Shape Grammar, acting as GENE_ARCH’s shape generation module. The urban patio house typology is readdressed in a contemporary context, both by improving its energy-effi ciency standards, and by rethinking its role in the genesis of high-density urban areas, while respecting its specifi c spatial organization and cultural grounding. Field work was carried out in Marrakesh, surveying a number of patio houses which became the Corpus of Design, from where a Shape Grammar was extracted. The computational implementation of the patio house grammar was done within GENE_ARCH. The resulting program was able to generate new, alternative patio houses designs that were more energy effi cient, while respecting the traditional rules captured from the analysis of existing houses. After the computational system was fully implemented, it was possible to complete different sets of experiments. The first experiments kept more restrained rules, thus generating new designs that closer resembled the existing ones. The progressive relaxation of rules and constraints allowed for a larger number of variations to emerge. Analysis of energy results provide insight into the main patterns resulting from the evolutionary search processes, namely in terms of form factors of generated solutions, and urban densities achieved.
keywords	Generative Design Systems; Genetic Algorithms; Shape Grammars; Patio Houses; Energy Efficiency
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2012_139
id	sigradi2012_139
authors	Darcan, Tugçe; Gürer, Ethem
year	2012
title	A Poe(Gene)tic Algorithm Method to Compute Gradient Spatiality
source	SIGraDi 2012 [Proceedings of the 16th Iberoamerican Congress of Digital Graphics] Brasil - Fortaleza 13-16 November 2012, pp. 24-28
summary	Related to the very common use of contemporary evolutionary methodologies, metaphorical relations coming out between architectural design and different structures (open and closed) and also new forms of spatiality are now being discussed. We are trying in this research, to query such a relationship between design and poetic language. In this regard, this paper concerns how haiku, well-known Japanese poem, may turn out to be an unfolding layer within the act of designing, by standing as a sort of syntactic generator. Genetic algorithms are benefited to compute the existing formalism in haiku structure, which gives rise to ‘gradient spatiality’.
keywords	evolutionary design; genetic algorithms; poetic language; haiku; gradient spatiality
series	SIGRADI
email
last changed	2016/03/10 09:50

_id	sigradi2012_170
id	sigradi2012_170
authors	De Martino, Jarryer Andrade; Celani, Gabriela
year	2012
title	O Algoritmo Evolutivo como método projetual [The Evolutionary Algorithm as design method]
source	SIGraDi 2012 [Proceedings of the 16th Iberoamerican Congress of Digital Graphics] Brasil - Fortaleza 13-16 November 2012, pp. 570-574
summary	The evolutionary algorithm contributes significantly to the search for solutions to difficult problems of understanding and problems that have more than one solution, and all of which are satisfactory. This method is used by some architects as an optimization technique for design process; furthermore it is a possibility to obtain solutions which may not have been imagined by the designer. The aim of this article is to introduce the main concepts of evolutionary algorithm and to explain its structure. The article ends with example of the application of evolutionary algorithms in solving design problems.
keywords	algoritmo evolutivo; método de projeto; diversidade.
series	SIGRADI
email
last changed	2016/03/10 09:50

_id	ecaade2012_105
id	ecaade2012_105
authors	Foged, Isak Worre ; Pasold, Anke ; Jensen, Mads Brath ; Poulsen, Esben Skouboe
year	2012
title	Acoustic Environments: Applying Evolutionary Algorithms for Sound Based Morphogenesis
source	Achten, Henri; Pavlicek, Jiri; Hulin, Jaroslav; Matejovska, Dana (eds.), Digital Physicality - Proceedings of the 30th eCAADe Conference - Volume 1 / ISBN 978-9-4912070-2-0, Czech Technical University in Prague, Faculty of Architecture (Czech Republic) 12-14 September 2012, pp. 347-353
doi	https://doi.org/10.52842/conf.ecaade.2012.1.347
wos	WOS:000330322400035
summary	The research investigates the application of evolutionary computation in relation to sound based morphogenesis. It does so by using the Sabine equation for performance benchmark in the development of the spatial volume and refl ectors, effectively creating the architectural expression as a whole. Additional algorithms are created and used to organise the entire set of 200 refl ector components and manufacturing constraints based upon the GA studies. An architectural pavilion is created based upon the studies illustrating the applicability of both developed methods and techniques.
keywords	Evolutionary Computation; Algorithmic Design; Architectural Acoustics; CAAD/CAM processes
series	eCAADe
email
last changed	2022/06/07 07:51

_id	caadria2012_108
id	caadria2012_108
authors	Gerber, David and Shih-Hsin (Eve) Lin
year	2012
title	Designing-in performance through parameterisation, automation, and evolutionary algorithms: ‘H.D.S. BEAGLE 1.0’
source	Proceedings of the 17th International Conference on Computer Aided Architectural Design Research in Asia / Chennai 25-28 April 2012, pp. 141–150
doi	https://doi.org/10.52842/conf.caadria.2012.141
summary	Design is both a goal oriented and decision making activity. It is ill-defined by nature as designing includes weighing and understanding trade-offs amongst soft and hard objectives or in other words vague or imprecise and computationally definable criteria and goals. In this regard designers in most contemporary practices face a crisis of sorts. How do we achieve performance or sustainability under these large degrees of uncertainty or with limited design cycle times? Fundamentally design collaborations, teams of domain experts, are not typically given enough time to design-explore, generate design alternatives in order to find or evolve solution quality through expansive design search spaces. Given these limitations of time and the ever more complex criteria for ‘designing-in’ performance our research approach provides a computational strategy to expand the solution space as well as pre-sort and qualify candidate designs. The research presents a novel methodology and technology framework and an initial implementation that was developed to enhance the human activity of design exploration, domain integration, and further evolve design process for performance goals. The research does so through generating and optimising a highly correlated solution space in conjunction with a near simultaneous evaluation of design alternative fitness.
keywords	Parametric design; multi-disciplinary design optimisation (MDO); evolutionary algorithms; performative design process
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	acadia12_67
id	acadia12_67
authors	Gerber, Dr. David Jason ; Lin, Shih-Hsin
year	2012
title	Synthesizing Design Performance: An Evolutionary Approach to Multidisciplinary Design Search
source	ACADIA 12: Synthetic Digital Ecologies [Proceedings of the 32nd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-62407-267-3] San Francisco 18-21 October, 2012), pp. 67-75
doi	https://doi.org/10.52842/conf.acadia.2012.067
summary	Design is a goal oriented decision-making activity. Design is ill defined and requiring of synthetic approaches to weighing and understanding tradeoffs amongst soft and hard objectives, and the imprecise and or computationally explicit criteria and goals. In this regard designers in contemporary practice face a crisis of sorts. How do we achieve performance under large degrees of uncertainty and limited design cycle time? How do we better design for integrating performance? Fundamentally design teams, are not typically given enough time nor the best tools to design explore, to generate design alternatives, and then evolve solution quality to search for best fit through expansive design solution spaces. Given the complex criteria for defining performance in architecture our research approach experiments upon an evolutionary and integrative computational strategy to expand the solution space of a design problem as well as pre-sort and qualify candidate designs. We present technology and methodology that supports rapid development of design problem solution spaces in which three design domains objectives have multi-directional impact on each other. The research describes the use of an evolutionary approach in which a genetic algorithm is used as a means to automate the design alternative population as well as to facilitate multidisciplinary design domain optimization. The paper provides a technical description of the prototype design, one that integrates associative parametric modeling with an energy use intensity evaluation and with a financial pro forma. The initial results of the research are presented and analyzed including impacts on design process; the impacts on design uncertainty and design cycle latency; and the affordances for ‘designing-in’ performance and managing project complexity. A summary discussion is developed which describes a future cloud implementation and the future extensions into other domains, scales, tectonic and system detail.
keywords	Parametric Design , Domain Integration , Design Methods , Multidisciplinary Design Optimization (MDO) , Evolutionary Algorithms , Design Decision Support , Generative Design
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:51

_id	ecaade2012_218
id	ecaade2012_218
authors	Gürer, Ethem ; Alacam, Sema ; Cagdas, Gülen
year	2012
title	How to Deal with Novel Theories in Architectural Education A Framework for Introducing Evolutionary Computation to Students
source	Achten, Henri; Pavlicek, Jiri; Hulin, Jaroslav; Matejovska, Dana (eds.), Digital Physicality - Proceedings of the 30th eCAADe Conference - Volume 1 / ISBN 978-9-4912070-2-0, Czech Technical University in Prague, Faculty of Architecture (Czech Republic) 12-14 September 2012, pp. 107-114
doi	https://doi.org/10.52842/conf.ecaade.2012.1.107
wos	WOS:000330322400010
summary	Evolution of/in artificial systems has been discussed in many fields such as computer science, architecture, natural and social sciences over the last fifty years. Evolutionary computation which takes its roots in computation and biology has a potential to enrich ways of thinking in architecture. This paper focuses mainly on the methodology of how evolutionary computation theories might be embedded in architectural education within the theoretical course in graduate level.
keywords	Evolutionary design; evolutionary algorithms; computational theory; architectural design curriculum
series	eCAADe
email
last changed	2022/06/07 07:49

_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
source	Proceedings of the 17th International Conference on Computer Aided Architectural Design Research in Asia / Chennai 25-28 April 2012, pp. 497–506
doi	https://doi.org/10.52842/conf.caadria.2012.497
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	acadia12_401
id	acadia12_401
authors	Mehann, Ryan ; Sher, Elite
year	2012
title	An Exploration Into Computational Optimization for Motive Architecture
source	ACADIA 12: Synthetic Digital Ecologies [Proceedings of the 32nd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-62407-267-3] San Francisco 18-21 October, 2012), pp. 401-405
doi	https://doi.org/10.52842/conf.acadia.2012.401
summary	This paper explores the potential of advanced computational methods for architecture. An experiment has been conducted with the aim of applying a computer driven optimization process on the motive behavior of a physical prototype. The choice of the mechanism is arbitrary, and this is to convey that the adaptive behavior of a structure in real time may be improved with the appropriate computational methods, regardless of its mechanical complexity. This provides architects with the opportunity to bring previously static architectural concepts into motion. The paper looks into the fields of embodied AI and mobile robotics research as resources for knowledge on the notions of integrating evolutionary computation into physical artifacts.
keywords	Computational Optimization , genetic Algorithms , Adaptive Architecture , Kinetic Architecture , Mobile Robotics
series	ACADIA
type	panel paper
email
last changed	2022/06/07 07:58

_id	ascaad2012_006
id	ascaad2012_006
authors	Taron, Joshua M.
year	2012
title	Structurally Intelligent Swarms: Exploiting Interoperability Toward Generative Design
source	CAAD \| INNOVATION \| PRACTICE [6th International Conference Proceedings of the Arab Society for Computer Aided Architectural Design (ASCAAD 2012 / ISBN 978-99958-2-063-3], Manama (Kingdom of Bahrain), 21-23 February 2012, pp. 33-47
summary	The potential afforded by the open search spaces of both agent-based models and evolutionary engines have given architecture yet another set of computational tools to play with, yet more often than not, they are used in isolation from one another. This research explores the set of techniques and results of having combined swarm formations, FEM software and an evolutionary engine within a parametric modeling environment such that they induce structurally intelligent swarm (SIS) morphologies. These morphologies are situated within normative architectural assemblies by means of parametric grafting techniques. Savage gothic materiality, as described by John Ruskin, as well as the work of Eva Hesse are referenced as the basis for these explorations. Speculations are made as to refining the engineering capabilities, expanding on programmatic applications and testing integrated SIS assemblies at larger scales.
series	ASCAAD
type	normal paper
email
more	http://www.ascaad.org/conference/2012/papers/ascaad2012_006.pdf
last changed	2021/07/16 10:39

_id	acadia12_239
id	acadia12_239
authors	Jackson, Jesse ; Stern, Luke
year	2012
title	Fabricating Sustainable Concrete Elements: A Physical Instantiation of the Marching Cubes Algorithm
source	ACADIA 12: Synthetic Digital Ecologies [Proceedings of the 32nd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-62407-267-3] San Francisco 18-21 October, 2012), pp. 239-247
doi	https://doi.org/10.52842/conf.acadia.2012.239
summary	This paper explores how an algorithm designed to represent form can be made physical, and how this physical instantiation can be made to respond to a set of design imperatives. Specifically, the paper demonstrates how Marching Cubes (Lorensen and Cline 1987), an algorithm that extracts a polygonal mesh from a scalar field, can be used to initiate the design for a system of modular concrete armature elements that permit a large degree of variability using a small number of discrete parts. The design of these elements was developed in response to a close examination of Frank Lloyd Wright's Usonian Automatic system, an architecturally pertinent historical precedent. The fabricated results positively satisfy contemporary design criteria, including maximal formal freedom, optimal environmental performance, and minimal life-cycle costs.
keywords	Form-finding Algorithms , Digital Fabrication , Sustainability , Frank Lloyd Wright , Concrete , Tectonic Elements
series	ACADIA
type	panel paper
email
last changed	2022/06/07 07:52

_id	sigradi2012_223
id	sigradi2012_223
authors	Alvarado, Rodrigo Garcia; Mardones, Oscar Otárola
year	2012
title	Eco-losas: desarrollo de componentes constructivos más eficientes por análisis topológico y diseño paramétrico. [Eco-slabs: development of more efficient building components by topological analysis and parametric design]
source	SIGraDi 2012 [Proceedings of the 16th Iberoamerican Congress of Digital Graphics] Brasil - Fortaleza 13-16 November 2012, pp. 630-632
summary	It exposes a design and construction system for horizontal plates to work as slabs in regular concrete buildings. Based to an evolutionary finite-element analysis of the topological configuration to get a curved design with a 50% reduction of traditional volume, that provide lower cost, less carbon foot-print, better performance and innovative ceiling. A library of profiles is elaborated according different loads, support and dimensions and implemented in a parametric design system, in order to produce geometries for study theirs integration in the building and to elaborate digital fabrication files. Different constructive strategies are been studied, making several prototypes.
keywords	Losas, Análisis Topológico, Diseño Paramétrico, Fabricación Digital
series	SIGRADI
email
last changed	2016/03/10 09:47

_id	ecaade2012_5
id	ecaade2012_5
authors	Biloria, Nimish; Chang, Jia-Rey
year	2012
title	HyperCell: A Bio-Inspired Information Design Framework for Real-Time Adaptive Spatial Components
source	Achten, Henri; Pavlicek, Jiri; Hulin, Jaroslav; Matejovska, Dana (eds.), Digital Physicality - Proceedings of the 30th eCAADe Conference - Volume 2 / ISBN 978-9-4912070-3-7, Czech Technical University in Prague, Faculty of Architecture (Czech Republic) 12-14 September 2012, pp. 573-581
doi	https://doi.org/10.52842/conf.ecaade.2012.2.573
wos	WOS:000330320600061
summary	Contemporary explorations within the evolutionary computational domain have been heavily instrumental in exploring biological processes of adaptation, growth and mutation. On the other hand a plethora of designers owing to the increasing sophistication in computer aided design software are equally enthused by the formal aspects of biological organisms and are thus meticulously involved in form driven design developments. This focus on top-down appearance and surface condition based design development under the banner of organic architecture in essence contributes to the growing misuse of bio-inspired design and the inherent meaning associated with the terminology. HyperCell, a bio-inspired information design framework for real-time adaptive spatial components, is an ongoing research, at Hyperbody, TU Delft, which focuses on extrapolating bottom-up generative design and real-time interaction based adaptive spatial re-use logics by understanding processes of adaptation, multi-performance and self sustenance in natural systems. Evolutionary developmental biology is considered as a theoretical basis for this research.
keywords	Adaptation; Swarms; Evo-Devo; Simulation: Cellular component
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia12_479
id	acadia12_479
authors	Castorina, Giulio
year	2012
title	Performative Topologies: An Evolutionary Shape Optimization Framework for Daylighting Performance Coupling a Particle-Spring System With an Energy Simulation Tool
source	ACADIA 12: Synthetic Digital Ecologies [Proceedings of the 32nd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-62407-267-3] San Francisco 18-21 October, 2012), pp. 479-490
doi	https://doi.org/10.52842/conf.acadia.2012.479
summary	This paper develops a methodological approach for use in design practice which combines an external simulation tool (EnergyPlus™) with an evo-lutionary optimisation strategy for the form-finding of complex fenestra-tion systems. On one hand, based on previous research, it presents a novel approach for the shape morphogenesis that exploits a generative algorithm technique to control a limited set of parameters whilst on the other hand it facilitates the integration of a simulation tool capable of handling increasing levels of complexity with greater data interoperabil-ity. In doing so it will argue the heuristic potential of the proposed meth-od in aiding the designers’ decision making whilst increasing the formal possibilities of their final design solutions.
keywords	Performance-based design , Genetic Algorithm (GA) , daylighting simulation , shape optimisation , decision support system (DSS)
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:55

_id	acadia12_383
id	acadia12_383
authors	Feringa, Jelle
year	2012
title	Implicit Fabrication, Fabrication Beyond Craft: The Potential of Turing Completeness in Construction"
source	ACADIA 12: Synthetic Digital Ecologies [Proceedings of the 32nd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-62407-267-3] San Francisco 18-21 October, 2012), pp. 383-390
doi	https://doi.org/10.52842/conf.acadia.2012.383
summary	This paper addresses the limited shared vocabulary of landscape architecture and architectural design, evident in the application of terms such as “spatial design” and “spatial planning.” In their current usage, such terms emphasize the visible, terrestrial, pedestrian-perspective level, often to the absolute exclusion of a spatial, i.e., volumetric comprehension of the environment. This deficit is acutely evident in the teaching of landscape architecture and architecture and discussion of these fields’ shared ground. The dominant document type for mapping such analysis and design is the plan, or three-dimensional representations of the same, restricted to an extrusion or height map. GIS techniques in spatial design tend to be weighted toward visual, surface-based data (slope analysis, exposure, viewshed, etc.). Within this domain, our goal is to transform aspects of the intangible—the characteristics of open space itself—into a form that is legible, quantifiable, and malleable.
keywords	evolutionary fabrication , computer vision , robotics , self-assembly , stigmergy
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:50

_id	ecaade2016_119
id	ecaade2016_119
authors	Koenig, Reinhard and Varoudis, Tasos
year	2016
title	Spatial Optimisations - Merging depthmapX, spatial graph networks and evolutionary design in Grasshopper
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 249-254
doi	https://doi.org/10.52842/conf.ecaade.2016.2.249
wos	WOS:000402064400024
summary	In the Space Syntax community, the standard tool for computing all kinds of spatial graph network measures is depthmapX (Varoudis, 2012). The process of evaluating many design variants of networks is relatively complicated, since they need to be drawn in a separated CAD system, exported and imported in depthmapX via dxf file format. This procedure disables a continuous integration into a design process. Furthermore, the standalone character of depthmapX makes it impossible to use its network centrality calculation for optimization processes. To overcome this limitations, we present in this paper the first steps of experimenting with a Grasshopper component (Varoudis, 2016) that can access the functions of depthmapX and integrate them into Grasshopper/Rhino3D. Here the component is implemented in a way that it can be used directly for an evolutionary algorithm (EA) implemented in a Python scripting component in Grasshopper.
keywords	Space Syntax; Evolutionary Algorithm; Grasshopper; Python; DepthmapX; Optimization
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2012_136
id	ecaade2012_136
authors	Marin, Philippe ; Marsault, Xavier ; Saleri, Renato ; Duchanois, Gilles
year	2012
title	Creativity with the help of evolutionary design tool
source	Achten, Henri; Pavlicek, Jiri; Hulin, Jaroslav; Matejovska, Dana (eds.), Digital Physicality - Proceedings of the 30th eCAADe Conference - Volume 1 / ISBN 978-9-4912070-2-0, Czech Technical University in Prague, Faculty of Architecture (Czech Republic) 12-14 September 2012, pp. 319-327
doi	https://doi.org/10.52842/conf.ecaade.2012.1.319
wos	WOS:000330322400032
summary	The general thematic of our work tackles the question of the generative design tool efficiency to stimulate a creative architectural conception in the context of sustainable development. We focus our point of view on the conceptual research phases. We would like to characterise the human creative mechanisms in a situation of generative assistance where digital tool reveals some degree of autonomy and incorporates environmental constraints. Thus, we implement an evolutionary design tool in which energetic performances of the analogon are used in order to orient the evolution. Our tool is based on an interactive genetic algorithm that ensures both a broad exploration of the solutions space and the subjective user preferences accounting. Users groups were confronted to the tool in a conception situation and creativity was evaluated and characterized.
keywords	Interactive genetic algorithm; evolutionary design; creativity; environmental parameters
series	eCAADe
email
last changed	2022/06/07 07:59

_id	sigradi2012_249
id	sigradi2012_249
authors	Mororó, Mayra Soares; Lima, Waldemar Felipe; Vasconcelos, Tania de Freitas
year	2012
title	Arquitetura paramétrica em habitação de interesse social: uma análise da produção científica no Brasil e no exterior [Parametric architecture in low-income housing: an analysis of scientific production in Brazil and abroad]
source	SIGraDi 2012 [Proceedings of the 16th Iberoamerican Congress of Digital Graphics] Brasil - Fortaleza 13-16 November 2012, pp. 341-343
summary	This paper is a bibliometric survey on parametrization of projects for social-oriented housing published in major conferences in this area. The study seeks to identify key authors and institutions involved, as well draw a profile of evolutionary number of publications on this subject. The research aims to provide an updated background for future work, which can help to increase the number of researches and indicate ways of applying parametric resources in optimization of projects for low-income housing.
keywords	Parametric Architecture; Housing; Bibliometrics
series	SIGRADI
email
last changed	2016/03/10 09:55

_id	ecaade2012_262
id	ecaade2012_262
authors	Pasternak, Agata
year	2012
title	Robotic Prototypes Optimization: Incorporation of Optimization Procedures in the Design Process
source	Achten, Henri; Pavlicek, Jiri; Hulin, Jaroslav; Matejovska, Dana (eds.), Digital Physicality - Proceedings of the 30th eCAADe Conference - Volume 2 / ISBN 978-9-4912070-3-7, Czech Technical University in Prague, Faculty of Architecture (Czech Republic) 12-14 September 2012, pp. 265-272
doi	https://doi.org/10.52842/conf.ecaade.2012.2.265
wos	WOS:000330320600026
summary	The use of computer-aided design combined with robotics and evolutionary principles of optimization, during the architectural design process, is discussed in this paper. The research is based on the examples of four case studies out of six projects designed during the Experimental Design Studio: ROBO Studio and a parallel seminar on optimization techniques on Architecture for Society of Knowledge Master course at Warsaw University of Technology, Faculty of Architecture. The project’s main goal was to combine robotic prototypes construction with an optimization process executed in parallel within one design procedure. The results of the course and the discussion about the impact of both factors on the architectural design process are presented in this paper.
keywords	Genetic algorithm; optimization; robotics; Galapagos, Firefly, digital fabrication, design integration, kinetic structures
series	eCAADe
type	normal paper
email
last changed	2022/06/07 07:59

_id	ecaade2012_015
id	ecaade2012_015
authors	Schneider, Sven ; König, Reinhard
year	2012
title	Exploring the Generative Potential of Isovist Fields: The Evolutionary Generation of Urban Layouts based on Isovist Field Properties
source	Achten, Henri; Pavlicek, Jiri; Hulin, Jaroslav; Matejovska, Dana (eds.), Digital Physicality - Proceedings of the 30th eCAADe Conference - Volume 1 / ISBN 978-9-4912070-2-0, Czech Technical University in Prague, Faculty of Architecture (Czech Republic) 12-14 September 2012, pp. 355-363
doi	https://doi.org/10.52842/conf.ecaade.2012.1.355
wos	WOS:000330322400036
summary	Isovists and isovist fi elds can be used to numerically capture the visual properties of spatial confi gurations (e.g. fl oor plans or urban layouts). To a certain degree these properties allow one to make statements about how spaces affect people. The question that serves as the starting point of this study is to examine whether spatial confi gurations ca n generated on the basis of these properties. This question is explored using an experimental approach for the computer-based generation of two-dimensional urban layouts. The spatial arrangements of two-dimensional elements (building-footprints) within a given boundary is optimised in terms of the desired isovist fi eld properties by means of an evolutionary strategy. The paper presents the results of this optimisation and discusses the advantages of this method compared with pattern books as commonly used in architecture.
keywords	Spatial Configuration; Generative Design; Evolutionary Strategy; Isovists; Visibility Based Design
series	eCAADe
email
last changed	2022/06/07 07:57

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