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	ecaade2016_157
id	ecaade2016_157
authors	Kulcke, Matthias and Lorenz, Wolfgang E.
year	2016
title	Utilizing Gradient Analysis within Interactive Genetic Algorithms
doi	https://doi.org/10.52842/conf.ecaade.2016.2.359
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. 359-364
summary	The paper describes and discusses the possible integration of gradient analysis, as a method and tool for architects and designers to analyze the degree of proportion-complexity of a design, into the process of designing an object utilizing interactive genetic algorithms (IGA). A VBA implementation for AutoCAD has been developed by the authors, enabling to test the usability of genetic algorithms (GA) for minimizing the angle-redundancy and length-redundancy quotient. The gradient analysis itself has been developed on the basic assumption that the complexity of an objects appearance is reduced by redundancy, which can be measured focussing on different levels of comparison; among others e. g. variety of material, colour-combinations and proportion. The latter comes under scrutiny if the method of gradient analysis is applied.
wos	WOS:000402064400035
keywords	Gradient Analysis; Interactive Genetic Algorithm; Design Complexity; Redundancy; Spatial Analysis; Form and Geometry; Proportion
series	eCAADe
email
last changed	2022/06/07 07:52

_id	caadria2016_291
id	caadria2016_291
authors	Hotta, K. and A. Hotta
year	2016
title	The Implementation of Programmable Architecture: Wireless Interaction with Dynamic Structure
doi	https://doi.org/10.52842/conf.caadria.2016.291
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 291-299
summary	True adaptability in architecture necessitates both dynamic hardware and software with the potential for continually renewable forms capable of all possible variations necessary for changing de- mands and conditions, without having to resort to one theoretically optimal solution. PA consists of both autonomous and subservient systems that maintain a constant homeostasis within its contained en- vironment. The information flow between the Genetic Algorithms (GA) and user input prompts this hybrid system to generate the conse- quent, ever-changing physical form, while continuously optimizing it for environmental stimuli. This paper proposes a smart strategy for a human interactive-cybernetic architecture in the context of K. Hotta’s Programmable Architecture (PA), aimed at enhancing GA’s capabili- ties in continuous self-modelling and facilitating human-computer in- terface.
keywords	Human-computer interaction; user interface
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2017_ws-archiedu
id	ecaade2017_ws-archiedu
authors	Kulcke, Matthias, Lorenz, Wolfgang E. and Wurzer, Gabriel
year	2017
title	Structuring of Teaching and Learning Situations in Architectural Education - Using and Integrating Digital Analysis within Interactive Genetic Algorithms
doi	https://doi.org/10.52842/conf.ecaade.2017.1.059
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 59-62
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2016_150
id	ecaade2016_150
authors	Barczik, Günter and Kruse, Rolf
year	2016
title	Shifting Design Work from Production to Evaluation - An Evolutive Design Tool
doi	https://doi.org/10.52842/conf.ecaade.2016.2.109
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. 109-115
summary	We are developing an evolutive design tool that seeks to facilitate a shift in the focus of the process of designing architecture: away from the production of design alternatives or options towards an evaluation of semi-automatically generated ones. We work towards outsourcing the production of design alternatives in a given design task to a CAD tool and thereby give human designers more time to evaluate and discuss those alternatives and guide the tool in the production of improved alternatives. The format of our work is an experimental student design and research project where architects and computer scientists collaborate. Though the project is in a very early stage, our aim is to ultimately shift the focus of human designers' involvement from production of design options to the evaluation of those, in order to give humans more time to think, discuss, find, analyze and include many different points of view and make it easier for them to be impartial in finding optimal solutions. We developed a design tool that uses interactive evolutionary algorithms to support exploration of design options.
wos	WOS:000402064400010
keywords	Genetic Algorithm; Evolutive Design Strategy; Interactive evolutionary computation
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2016_301
id	caadria2016_301
authors	Datta, S.; T. W. Chang and J. Hollick
year	2016
title	Curating architectural collections: Interaction with immersive stereoscopic visualisation
doi	https://doi.org/10.52842/conf.caadria.2016.301
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 301-310
summary	We present our research on the use of immersive stereo- scopic visualisation in interaction with collections of architectural rep- resentations. We investigate the processing and visualisation of multi- ple model representations from architectural datasets. We develop two models for locating collections of datasets in spatial contexts, namely a realistic gallery and a synthetic landscape. We evaluate and report the qualitative interactive experience with two forms of contextual in- teraction within a novel stereoscopic immersive visualisation (cylin- drical projection) environment. The use of immersive stereoscopic visualisation conveys aspects and dimensions of the collections that would not be possible without the forms of contextual interaction, the gallery metaphor and the synthetic landscape to interact with the ar- chitectural collections. The combination of abstract representations with realistic sense of scale and interaction provide the user with an immersive experience to convey the collective form.
keywords	Digital data acquisition; architectural reconstruction; geometry processing and algorithms; immersive stereoscopic visualisation; human computer interaction
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ecaade2016_094
id	ecaade2016_094
authors	Kontovourkis, Odysseas and Konatzii, Panagiota
year	2016
title	Optimization Process Towards Robotic Manufacturing in Actual Scale - The Implementation of Genetic Algorithms in the Robotic Construction of Modular Formwork Systems
doi	https://doi.org/10.52842/conf.ecaade.2016.1.169
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 169-178
summary	The application of optimization processes in architectural design has gained significant attention among architects and recently has become a driving force towards more robust, reliable as well as flexible design investigations. Such application, require handling of multiple parameters, aiming at finding the range of possible solutions in morphological or topological problems of optimization, mostly during the design decision-making process and under the influence of functional, environmental, structural, or other design criteria. This ongoing research investigation puts forward the hypothesis that optimization processes might be equally applied during the construction decision-making process where architectural systems are examined in terms of their ability to be statically efficient and easily manufactured through the use of robotic machines. This is important to exist within a bidirectional platform of communication where the design decision-making will inform decision taken during pre-construction stage and vise versa. In order to test our hypothesis, two case studies are developed that implements genetic algorithms to examine the geometric and static behavior as well as the construction ability of proposed flexible three-dimensional modular formworks and overall systems for concrete casting, aiming to be robotically manufactured in actual scale.
wos	WOS:000402063700019
keywords	Optimization process; genetic algorithms; robotic manufacturing; modular formwork system.
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ijac201614401
id	ijac201614401
authors	Mark, Earl and Zita Ultmann
year	2016
title	Environmental footprint design tool: Exchanging geographical information system and computer-aided design data in real time
source	International Journal of Architectural Computing vol. 14 - no. 4, 307-321
summary	The pairing of computer-aided design and geographical information system data creates an opportunity to connect an architectural design process with a robust analysis of its environmental constraints. Yet, the geographical information system data may be too overwhelmingly complex to be fully used in computer-aided design without computer-assisted methods of filtering relevant information. This article reports on the implementation of an integrated environment for three-dimensional computer-aided design and environmental impact. The project focused on a two-way data exchange between geographical information system and computer-aided design in building design. While the two different technologies may rely on separate representational models, in combination they can provide a more complete view of the natural and built environment. The challenge in integration is that of bridging the differences in analytical methods and database formats. Our approach is rooted in part in constraint-based design methods, well established in computer-aided design (e.g. Sketchpad, Generative Components, and computer-aided three-dimensional interactive application). Within such computer-aided design systems, geometrical transformations may be intentionally constrained to help enforce a set of design determinants. Although this current implementation modestly relates to geometrical constraints, the use of probabilistic risk values is more central to its methodology.
keywords	Boolean analysis, area overlay analysis, attribute classification, data transition using .csv, vectorization, risk analysis, site planning
series	journal
email
last changed	2016/12/09 10:52

_id	acadia16_140
id	acadia16_140
authors	Nejur, Andrei; Steinfeld, Kyle
year	2016
title	Ivy: Bringing a Weighted-Mesh Representations to Bear on Generative Architectural Design Applications
doi	https://doi.org/10.52842/conf.acadia.2016.140
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 140-151
summary	Mesh segmentation has become an important and well-researched topic in computational geometry in recent years (Agathos et al. 2008). As a result, a number of new approaches have been developed that have led to innovations in a diverse set of problems in computer graphics (CG) (Sharmir 2008). Specifically, a range of effective methods for the division of a mesh have recently been proposed, including by K-means (Shlafman et al. 2002), graph cuts (Golovinskiy and Funkhouser 2008; Katz and Tal 2003), hierarchical clustering (Garland et al. 2001; Gelfand and Guibas 2004; Golovinskiy and Funkhouser 2008), primitive fitting (Athene et al. 2004), random walks (Lai et al.), core extraction (Katz et al.) tubular multi-scale analysis (Mortara et al. 2004), spectral clustering (Liu and Zhang 2004), and critical point analysis (Lin et al. 20070, all of which depend upon a weighted graph representation, typically the dual of a given mesh (Sharmir 2008). While these approaches have been proven effective within the narrowly defined domains of application for which they have been developed (Chen 2009), they have not been brought to bear on wider classes of problems in fields outside of CG, specifically on problems relevant to generative architectural design. Given the widespread use of meshes and the utility of segmentation in GAD, by surveying the relevant and recently matured approaches to mesh segmentation in CG that share a common representation of the mesh dual, this paper identifies and takes steps to address a heretofore unrealized transfer of technology that would resolve a missed opportunity for both subject areas. Meshes are often employed by architectural designers for purposes that are distinct from and present a unique set of requirements in relation to similar applications that have enjoyed more focused study in computer science. This paper presents a survey of similar applications, including thin-sheet fabrication (Mitani and Suzuki 2004), rendering optimization (Garland et al. 2001), 3D mesh compression (Taubin et al. 1998), morphin (Shapira et al. 2008) and mesh simplification (Kalvin and Taylor 1996), and distinguish the requirements of these applications from those presented by GAD, including non-refinement in advance of the constraining of mesh geometry to planar-quad faces, and the ability to address a diversity of mesh features that may or may not be preserved. Following this survey of existing approaches and unmet needs, the authors assert that if a generalized framework for working with graph representations of meshes is developed, allowing for the interactive adjustment of edge weights, then the recent developments in mesh segmentation may be better brought to bear on GAD problems. This paper presents work toward the development of just such a framework, implemented as a plug-in for the visual programming environment Grasshopper.
keywords	tool-building, design simulation, fabrication, computation, megalith
series	ACADIA
type	paper
email
last changed	2022/06/07 07:58

_id	ascaad2010_039
id	ascaad2010_039
authors	Almusharaf, Ayman M.; Mahjoub Elnimeiri
year	2010
title	A Performance-Based Design Approach for Early Tall Building Form Development
source	CAAD - Cities - Sustainability [5th International Conference Proceedings of the Arab Society for Computer Aided Architectural Design (ASCAAD 2010 / ISBN 978-1-907349-02-7], Fez (Morocco), 19-21 October 2010, pp. 39-50
summary	This paper presents a methodological interactive design approach within which structure is integrated into tall building form development. The approach establishes a synergy between generative and analytical tools to allow for parallel interaction of the formal and structural design considerations during the conceptual design phase. An integration of the associative modeling system, Grasshopper, and the structural analysis tool, ETABS was established, and a bi-directional feedback link between the two tools was initiated to guide the iterative from generation process. A design scenario is presented in this paper to demonstrate how the parametric generation and alteration of architectural form can be carried out based on instant feedback on the structural performance. Utilizing such a tool, architects can not only develop improved understanding of structural needs, but also realize their formal ideas structurally and materially.
series	ASCAAD
email
last changed	2011/03/01 07:36

_id	ecaade2023_211
id	ecaade2023_211
authors	Kalak, Dogan, Güleç Özer, Derya and Aydin, Serdar
year	2023
title	Experiencing Cultural Heritage Through Gamification – Mardin orphanage
doi	https://doi.org/10.52842/conf.ecaade.2023.2.671
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 671–680
summary	This paper presents early-stage research about the role of gamification in experiencing cultural heritage strongly within the sociological context, specifically focusing on the transformation of the old orphanage located in the historical city center of Mardin. The study acknowledges the significance of the old orphanage as an architectural heritage exemplar, built of natural Mardin stone, situated within a unique historical and archaeological urban environment. However, it recognizes the challenges of preserving the building's heritage value, which necessitate surpassing the superficial restoration methods applied to adapt it into a hotel. The primary motivation of this research is to develop a method for creating a navigable and interactive virtual replica of the orphanage, centering on the processes and outcomes of transferring its heritage value. To achieve this, the paper initially outlines the documentation and analysis procedures employed, utilizing photogrammetry to capture the past and current states of the orphanage. Subsequently, participants engage with a gamified and realistic digital replica of the orphanage, involving task-based interactions and scenario-based experiences. The paper concludes by presenting preliminary results concerning participant reactions to the initial virtual model, delivered through a VR device. By raising awareness about the significance of restoring and preserving historical heritage, this study aims to positively impact the domains of tourism, education, and conservation. Furthermore, it intends to shed light on future research opportunities in the field of digital cultural heritage.
keywords	Gamification, Digital Cultural Heritage, Virtual Reality, VR Device, Photogrammetry, Mardin
series	eCAADe
email
last changed	2023/12/10 10:49

_id	315caadria2004
id	315caadria2004
authors	Kuo-Chung Wen, Wei-Lung Chen
year	2004
title	Application of Genetic Algorithms to Establish Flooding Evacuation Path Model in Metropolitan Area
doi	https://doi.org/10.52842/conf.caadria.2004.557
source	CAADRIA 2004 [Proceedings of the 9th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 89-7141-648-3] Seoul Korea 28-30 April 2004, pp. 557-570
summary	This research has shown the difficulties associated with the GIS and the flooding evacuation path search through the huge searching space generated during the network analysis process. This research also presents an approach to these problems by utilizing a search process whose concept is derived from natural genetics. Genetic algorithms (GAs) have been introduced in the optimization problem solving area by Holland (1975) and Goldberg (1989) and have shown their usefulness through numerous applications. We apply GA and GIS to choice flooding evacuation path in metropolitan area in this study. We take the region of Shiji city in Taiwan for case. That could be divided into four parts. First, is to set the population of GA operation. Second, is to choose crossover and mutation. Third, is to calculate the fitness function of each generation and to select the better gene arrangement. Fourth, is to reproduce, after evolution, we can establish Flooding Evacuation Path that more reflect really human action and choice when flood takes place. However we can apply GA to calculate different evacuation path in different time series. Final, we compare and establish real model of evacuation path model to choosing flooding evacuation path.
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	sigradi2023_2
id	sigradi2023_2
authors	Song, Yang, Agkathidis, Asterios and Koeck, Richard
year	2023
title	HoloBrick: a contextual design and analysis workflow for parametric masonry façade utilizing augmented reality
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 695–704
summary	This paper presents experimental research about developing a contextual design and analysis workflow utilizing augmented reality (AR) technology to enrich the current design process with an immersive experience. The limitation in the current design process is that due to the lack of spatial perception of the architectural draft on-site preview, designers sometimes find it difficult to fully evaluate their design proposals, which often causes unreasonable design outcomes and incomplete related analysis. To respond to the above problems, the HoloBrick research aims to create a unique augmented parametric algorithm for masonry façade designs to develop and validate the proposed contextual AR-assisted design and analysis workflow, which consists of two phases: a) AR contextual design, and b) AR contextual analysis and modification. The research findings highlight the advantages of using AR in the design and analysis process, such as providing immersive preview and interactive input methods, analyzing design outcomes within context, and enhancing draft modifications with better understanding, which are not offered in the current design process.
keywords	Augmented Reality (AR), Contextual design, Contextual analysis, Masonry façade, Immersive workflow
series	SIGraDi
email
last changed	2024/03/08 14:07

_id	ddss2004_d-63
id	ddss2004_d-63
authors	Wen, K.-C. and W.-L. Chen
year	2004
title	Applying Genetic Algorithms to Establish Disaster Decision Support System for Flooding Evacuation Path of Hsichih Area in Taiwan
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Developments in Design & Decision Support Systems in Architecture and Urban Planning, Eindhoven: Eindhoven University of Technology, ISBN 90-6814-155-4, p. 63-75
summary	Because of the special geography features and subtropics weather in Taiwan, we need to provide correct information to help people making decision when they are in disaster. So the disaster decision support system must offer proper information of evacuation path to people. This research has shown the difficulties associated with the GIS and the flooding evacuation path search through the huge searching space generated during the network analysis process. This research also presents an approach to these problems by utilizing a search process whose concept is derived from natural genetics. Genetic algorithms (GAs) have been introduced in the optimization problem solving area by Holland (1975) and Goldberg (1989) and have shown their usefulness through numerous applications. We apply GA and GIS to choice flooding evacuation path in metropolitan area in this study. We take the region of Shiji city in Taiwan for case. Firstly, we establish the node relationship of GA calculation, the level of the weight is the standard of the date that is exported by Disaster Database. Secondly, we apply GA to calculate different evacuation path in different time series. Finally, we build the model of choosing flooding evacuation path.
keywords	Genetic Algorithms, Decision Support System, GIS, Evacuation Path
series	DDSS
last changed	2004/07/03 22:13

_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	ddssup9604
id	ddssup9604
authors	Boelen, A.J.
year	1996
title	Impact-Analysis of Urban Design Realtime impact-analysis models for urban designers
source	Timmermans, Harry (Ed.), Third Design and Decision Support Systems in Architecture and Urban Planning - Part two: Urban Planning Proceedings (Spa, Belgium), August 18-21, 1996
summary	The past five years Prof Dr Jr T.M. de Jong, professor in environmental planning and sustainability at the Technical University of Delft, has developed a theoretical foundation for the analysis of urban design on the ecological, technical, economical, cultural and political impacts of morphologic interventions on different levels of scale. From september 1994 Jr AJ. Boelen (Urban Design Scientist and Knowledge Engineer) started a research project at the same university to further explore the possibilities of these theories and to develop impact evaluation models for urban design and development with the theoretical work of De Jong as a starting point. The paper discusses the development of a design and decision support system based on these theories. For the development of this system, techniques like object-orientation, genetic algorithms and knowledge engineering are used. The user interface, the relation between the real world, paper maps and virtual maps and the presentation of design-interventions and impacts caused by the interventions are important issues. The development-process is an interactive step by step process. It consists of the making of a prototype of the system, testing the theory and hypothe-sisses the system is based on, by applying tests end adjusting the theory and hypothesisses where needed. Eventually the system must be able to act as an integrator of many different models already developed or still to be developed. The structure of the system will allow easy future expansion and adjustment to changing insights. The logic used to develop the basic theory on which this system is founded makes it possible to even introduce and maintain rather subjective aspects like quality or appraisal as impacts that can be evaluated. In a previously developed system "Momentum" this was proved to work effectively for the national level. In this project we will - amongst other things - try to prove the effectiveness of impact-evaluation for other levels of scale.
series	DDSS
email
last changed	2003/11/21 15:16

_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
doi	https://doi.org/10.52842/conf.ecaade.2012.1.459
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
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.
wos	WOS:000330322400047
keywords	Generative Design Systems; Genetic Algorithms; Shape Grammars; Patio Houses; Energy Efficiency
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2023_186
id	ecaade2023_186
authors	Yonder, Veli Mustafa, Dogan, Fehmi, Cavka, Hasan Burak, Tayfur, Gokmen and Dulgeroglu, Ozum
year	2023
title	Decoding and Predicting the Attributes of Urban Public Spaces with Soft Computing Models and Space Syntax Approaches
doi	https://doi.org/10.52842/conf.ecaade.2023.2.761
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 1, Graz, 20-22 September 2023, pp. 761–768
summary	People spend a considerable amount of time in public spaces for a variety of reasons, albeit at various times of the day and during season. Therefore, it is of utmost importance for both urban designers and local authorities to try to gain an understanding of the architectural qualities of these spaces. Within the scope of this study, squares and green parks in Izmir, the third largest city in Turkey, were analyzed in terms of their dimensions, landscape characteristics, the quality of their semi-open spaces, their landmarks, accessibility, and overall aesthetic quality. Using linear predictor, general regression neural networks, multilayer feed-forward neural networks (2-3-4-5-6 nodes), and genetic algorithms, soft computing models were trained in accordance with the results of the conducted analyses. Meanwhile, using space syntax methodologies, a visibility graph analysis and axial map analysis were conducted. The training results (i.e., root mean square error, mean absolute error, bad prediction rates for testing and training phases, and standard deviation of absolute error) were obtained in a comparative table based on training times and root mean square error values. According to the benchmarking table, the network that most accurately predicts the aesthetic score is the 2-node MLFNN, whereas the 6-node MLFN network is the least successful network.
keywords	Multilayer Perceptron, Architectural Aesthetics, General Regression Neural Net, Spatial Configuration
series	eCAADe
email
last changed	2023/12/10 10:49

_id	2068
authors	Frazer, John
year	1995
title	AN EVOLUTIONARY ARCHITECTURE
source	London: Architectural Association
summary	In "An Evolutionary Architecture", John Frazer presents an overview of his work for the past 30 years. Attempting to develop a theoretical basis for architecture using analogies with nature's processes of evolution and morphogenesis. Frazer's vision of the future of architecture is to construct organic buildings. Thermodynamically open systems which are more environmentally aware and sustainable physically, sociologically and economically. The range of topics which Frazer discusses is a good illustration of the breadth and depth of the evolutionary design problem. Environmental Modelling One of the first topics dealt with is the importance of environmental modelling within the design process. Frazer shows how environmental modelling is often misused or misinterpreted by architects with particular reference to solar modelling. From the discussion given it would seem that simplifications of the environmental models is the prime culprit resulting in misinterpretation and misuse. The simplifications are understandable given the amount of information needed for accurate modelling. By simplifying the model of the environmental conditions the architect is able to make informed judgments within reasonable amounts of time and effort. Unfortunately the simplications result in errors which compound and cause the resulting structures to fall short of their anticipated performance. Frazer obviously believes that the computer can be a great aid in the harnessing of environmental modelling data, providing that the same simplifying assumptions are not made and that better models and interfaces are possible. Physical Modelling Physical modelling has played an important role in Frazer's research. Leading to the construction of several novel machine readable interactive models, ranging from lego-like building blocks to beermat cellular automata and wall partitioning systems. Ultimately this line of research has led to the Universal Constructor and the Universal Interactor. The Universal Constructor The Universal Constructor features on the cover of the book. It consists of a base plug-board, called the "landscape", on top of which "smart" blocks, or cells, can be stacked vertically. The cells are individually identified and can communicate with neighbours above and below. Cells communicate with users through a bank of LEDs displaying the current state of the cell. The whole structure is machine readable and so can be interpreted by a computer. The computer can interpret the states of the cells as either colour or geometrical transformations allowing a wide range of possible interpretations. The user interacts with the computer display through direct manipulation of the cells. The computer can communicate and even direct the actions of the user through feedback with the cells to display various states. The direct manipulation of the cells encourages experimentation by the user and demonstrates basic concepts of the system. The Universal Interactor The Universal Interactor is a whole series of experimental projects investigating novel input and output devices. All of the devices speak a common binary language and so can communicate through a mediating central hub. The result is that input, from say a body-suit, can be used to drive the out of a sound system or vice versa. The Universal Interactor opens up many possibilities for expression when using a CAD system that may at first seem very strange.However, some of these feedback systems may prove superior in the hands of skilled technicians than more standard devices. Imagine how a musician might be able to devise structures by playing melodies which express the character. Of course the interpretation of input in this form poses a difficult problem which will take a great deal of research to achieve. The Universal Interactor has been used to provide environmental feedback to affect the development of evolving genetic codes. The feedback given by the Universal Interactor has been used to guide selection of individuals from a population. Adaptive Computing Frazer completes his introduction to the range of tools used in his research by giving a brief tour of adaptive computing techniques. Covering topics including cellular automata, genetic algorithms, classifier systems and artificial evolution. Cellular Automata As previously mentioned Frazer has done some work using cellular automata in both physical and simulated environments. Frazer discusses how surprisingly complex behaviour can result from the simple local rules executed by cellular automata. Cellular automata are also capable of computation, in fact able to perform any computation possible by a finite state machine. Note that this does not mean that cellular automata are capable of any general computation as this would require the construction of a Turing machine which is beyond the capabilities of a finite state machine. Genetic Algorithms Genetic algorithms were first presented by Holland and since have become a important tool for many researchers in various areas.Originally developed for problem-solving and optimization problems with clearly stated criteria and goals. Frazer fails to mention one of the most important differences between genetic algorithms and other adaptive problem-solving techniques, ie. neural networks. Genetic algorithms have the advantage that criteria can be clearly stated and controlled within the fitness function. The learning by example which neural networks rely upon does not afford this level of control over what is to be learned. Classifier Systems Holland went on to develop genetic algorithms into classifier systems. Classifier systems are more focussed upon the problem of learning appropriate responses to stimuli, than searching for solutions to problems. Classifier systems receive information from the environment and respond according to rules, or classifiers. Successful classifiers are rewarded, creating a reinforcement learning environment. Obviously, the mapping between classifier systems and the cybernetic view of organisms sensing, processing and responding to environmental stimuli is strong. It would seem that a central process similar to a classifier system would be appropriate at the core of an organic building. Learning appropriate responses to environmental conditions over time. Artificial Evolution Artificial evolution traces it's roots back to the Biomorph program which was described by Dawkins in his book "The Blind Watchmaker". Essentially, artificial evolution requires that a user supplements the standard fitness function in genetic algorithms to guide evolution. The user may provide selection pressures which are unquantifiable in a stated problem and thus provide a means for dealing ill-defined criteria. Frazer notes that solving problems with ill-defined criteria using artificial evolution seriously limits the scope of problems that can be tackled. The reliance upon user interaction in artificial evolution reduces the practical size of populations and the duration of evolutionary runs. Coding Schemes Frazer goes on to discuss the encoding of architectural designs and their subsequent evolution. Introducing two major systems, the Reptile system and the Universal State Space Modeller. Blueprint vs. Recipe Frazer points out the inadequacies of using standard "blueprint" design techniques in developing organic structures. Using a "recipe" to describe the process of constructing a building is presented as an alternative. Recipes for construction are discussed with reference to the analogous process description given by DNA to construct an organism. The Reptile System The Reptile System is an ingenious construction set capable of producing a wide range of structures using just two simple components. Frazer saw the advantages of this system for rule-based and evolutionary systems in the compactness of structure descriptions. Compactness was essential for the early computational work when computer memory and storage space was scarce. However, compact representations such as those described form very rugged fitness landscapes which are not well suited to evolutionary search techniques. Structures are created from an initial "seed" or minimal construction, for example a compact spherical structure. The seed is then manipulated using a series of processes or transformations, for example stretching, shearing or bending. The structure would grow according to the transformations applied to it. Obviously, the transformations could be a predetermined sequence of actions which would always yield the same final structure given the same initial seed. Alternatively, the series of transformations applied could be environmentally sensitive resulting in forms which were also sensitive to their location. The idea of taking a geometrical form as a seed and transforming it using a series of processes to create complex structures is similar in many ways to the early work of Latham creating large morphological charts. Latham went on to develop his ideas into the "Mutator" system which he used to create organic artworks. Generalising the Reptile System Frazer has proposed a generalised version of the Reptile System to tackle more realistic building problems. Generating the seed or minimal configuration from design requirements automatically. From this starting point (or set of starting points) solutions could be evolved using artificial evolution. Quantifiable and specific aspects of the design brief define the formal criteria which are used as a standard fitness function. Non-quantifiable criteria, including aesthetic judgments, are evaluated by the user. The proposed system would be able to learn successful strategies for satisfying both formal and user criteria. In doing so the system would become a personalised tool of the designer. A personal assistant which would be able to anticipate aesthetic judgements and other criteria by employing previously successful strategies. Ultimately, this is a similar concept to Negroponte's "Architecture Machine" which he proposed would be computer system so personalised so as to be almost unusable by other people. The Universal State Space Modeller The Universal State Space Modeller is the basis of Frazer's current work. It is a system which can be used to model any structure, hence the universal claim in it's title. The datastructure underlying the modeller is a state space of scaleless logical points, called motes. Motes are arranged in a close-packing sphere arrangement, which makes each one equidistant from it's twelve neighbours. Any point can be broken down into a self-similar tetrahedral structure of logical points. Giving the state space a fractal nature which allows modelling at many different levels at once. Each mote can be thought of as analogous to a cell in a biological organism. Every mote carries a copy of the architectural genetic code in the same way that each cell within a organism carries a copy of it's DNA. The genetic code of a mote is stored as a sequence of binary "morons" which are grouped together into spatial configurations which are interpreted as the state of the mote. The developmental process begins with a seed. The seed develops through cellular duplication according to the rules of the genetic code. In the beginning the seed develops mainly in response to the internal genetic code, but as the development progresses the environment plays a greater role. Cells communicate by passing messages to their immediate twelve neighbours. However, it can send messages directed at remote cells, without knowledge of it's spatial relationship. During the development cells take on specialised functions, including environmental sensors or producers of raw materials. The resulting system is process driven, without presupposing the existence of a construction set to use. The datastructure can be interpreted in many ways to derive various phenotypes. The resulting structure is a by-product of the cellular activity during development and in response to the environment. As such the resulting structures have much in common with living organisms which are also the emergent result or by-product of local cellular activity. Primordial Architectural Soups To conclude, Frazer presents some of the most recent work done, evolving fundamental structures using limited raw materials, an initial seed and massive feedback. Frazer proposes to go further and do away with the need for initial seed and start with a primordial soup of basic architectural concepts. The research is attempting to evolve the starting conditions and evolutionary processes without any preconditions. Is there enough time to evolve a complex system from the basic building blocks which Frazer proposes? The computational complexity of the task being embarked upon is not discussed. There is an implicit assumption that the "superb tactics" of natural selection are enough to cut through the complexity of the task. However, Kauffman has shown how self-organisation plays a major role in the early development of replicating systems which we may call alive. Natural selection requires a solid basis upon which it can act. Is the primordial soup which Frazer proposes of the correct constitution to support self-organisation? Kauffman suggests that one of the most important attributes of a primordial soup to be capable of self-organisation is the need for a complex network of catalysts and the controlling mechanisms to stop the reactions from going supracritical. Can such a network be provided of primitive architectural concepts? What does it mean to have a catalyst in this domain? Conclusion Frazer shows some interesting work both in the areas of evolutionary design and self-organising systems. It is obvious from his work that he sympathizes with the opinions put forward by Kauffman that the order found in living organisms comes from both external evolutionary pressure and internal self-organisation. His final remarks underly this by paraphrasing the words of Kauffman, that life is always to found on the edge of chaos. By the "edge of chaos" Kauffman is referring to the area within the ordered regime of a system close to the "phase transition" to chaotic behaviour. Unfortunately, Frazer does not demonstrate that the systems he has presented have the necessary qualities to derive useful order at the edge of chaos. He does not demonstrate, as Kauffman does repeatedly, that there exists a "phase transition" between ordered and chaotic regimes of his systems. He also does not make any studies of the relationship of useful forms generated by his work to phase transition regions of his systems should they exist. If we are to find an organic architecture, in more than name alone, it is surely to reside close to the phase transition of the construction system of which is it built. Only there, if we are to believe Kauffman, are we to find useful order together with environmentally sensitive and thermodynamically open systems which can approach the utility of living organisms.
series	other
type	normal paper
last changed	2004/05/22 14:12

_id	2006_898
id	2006_898
authors	Tsangrassoulis, Aris; Vassilis Geros and Vassilis Bourdakis
year	2006
title	Energy conscious automated design of building façades using genetic algorithms
doi	https://doi.org/10.52842/conf.ecaade.2006.898
source	Communicating Space(s) [24th eCAADe Conference Proceedings / ISBN 0-9541183-5-9] Volos (Greece) 6-9 September 2006, pp. 898-902
summary	Various European Directives have been issued concerning the energy efficiency of the buildings. The target is the achievement of a near optimum energy efficient environment while at the same time satisfying occupant needs throughout the year within an integrated “holistic” or “whole building” framework. A variety of different antagonistic parameters should be balanced such as window size and glazing transmittance or daylighting and shading and in most cases this requires an examination of various scenarios. Thus the design of building envelopes should address a careful balance between internal requirements and loads, the materials and properties of the façade and the external environment. Nowadays, the available tools for façade design-in terms of building’s energy efficiency- are inappropriate for interactive or creative use. In this paper we examine the development of a genetic algorithm which is capable to optimise the opening areas, glazing properties and shading configurations –on the basis of minimum energy consumption- and then to design automatically simplistic alternative scenarios of the building façade.
keywords	Genetic algorithms; building energy efficiency
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2016_026
id	ecaade2016_026
authors	Agkathidis, Asterios
year	2016
title	Implementing Biomorphic Design - Design Methods in Undergraduate Architectural Education
doi	https://doi.org/10.52842/conf.ecaade.2016.1.291
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 291-298
summary	In continuation to Generative Design Methods, this paper investigates the implementation of Biomorphic Design, supported by computational techniques in undergraduate, architectural studio education. After reviewing the main definitions of biomorphism, organicism and biomimicry synoptically, we will assess the application of a modified biomorphic method on a final year, undergraduate design studio, in order to evaluate its potential and its suitability within the framework of a research led design studio, leading to an RIBA accredited Part I degree. Our research findings based on analysis of design outputs, student performance as well as moderators and external examiners reports initiate a constructive debate about accomplishments and failures of a design methodology which still remains alien to many undergraduate curricula.
wos	WOS:000402063700033
keywords	CAAD Education; Strategies, Shape Form and Geometry; Generative Design; Design Concepts
series	eCAADe
email
last changed	2022/06/07 07:54

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