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

PDF papers
References

Hits 1 to 20 of 608

Reformat results as: short short into frame detailed detailed into frame

_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	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	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	sigradi2006_e090b
id	sigradi2006_e090b
authors	Hanna, Sean and Turner, Alasdair
year	2006
title	Teaching parametric design in code and construction
source	SIGraDi 2006 - [Proceedings of the 10th Iberoamerican Congress of Digital Graphics] Santiago de Chile - Chile 21-23 November 2006, pp. 158-161
summary	Automated manufacturing processes with the ability to translate digital models into physical form promise both an increase in the complexity of what can be built, and through rapid prototyping, a possibility to experiment easily with tangible examples of the evolving design. The increasing literacy of designers in computer languages, on the other hand, offers a new range of techniques through which the models themselves might be generated. This paper reviews the results of an integrated parametric modelling and digital manufacturing workshop combining participants with a background in computer programming with those with a background in fabrication. Its aim was both to encourage collaboration in a domain that overlaps both backgrounds, as well as to explore the ways in which the two working methods naturally extend the boundaries of traditional parametric design. The types of projects chosen by the students, the working methods adopted and progress made will be discussed in light of future educational possibilities, and of the future direction of parametric tools themselves. Where standard CAD constructs isolated geometric primitives, parametric models allow the user to set up a hierarchy of relationships, deferring such details as specific dimension and sometimes quantity to a later point. Usually these are captured by a geometric schema. Many such relationships in real design however, can not be defined in terms of geometry alone. Logical operations, environmental effects such as lighting and air flow, the behaviour of people and the dynamic behaviour of materials are all essential design parameters that require other methods of definition, including the algorithm. It has been our position that the skills of the programmer are necessary in the future of design. Bentley’s Generative Components software was used as the primary vehicle for the workshop design projects. Built within the familiar Microstation framework, it enables the construction of a parametric model at a range of different interfaces, from purely graphic through to entirely code based, thus allowing the manipulation of such non-geometric, algorithmic relationships as described above. Two-dimensional laser cutting was the primary fabrication method, allowing for rapid manufacturing, and in some cases iterative physical testing. The two technologies have led in the workshop to working methods that extend the geometric schema: the first, by forcing an explicit understanding of design as procedural, and the second by encouraging physical experimentation and optimisation. The resulting projects have tended to focus on responsiveness to conditions either coded or incorporated into experimental loop. Examples will be discussed. While programming languages and geometry are universal in intent, their constraints on the design process were still notable. The default data structures of computer languages (in particular the rectangular array) replace one schema limitation with another. The indexing of data in this way is conceptually hard-wired into much of our thinking both in CAD and in code. Thankfully this can be overcome with a bit of programming, but the number of projects which have required this suggests that more intuitive, or spatial methods of data access might be developed in the future.
keywords	generative design; parametric model; teaching
series	SIGRADI
email
last changed	2016/03/10 09:53

_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	ddss2006-hb-325
id	DDSS2006-HB-325
authors	Jean Oh, Jie-Eun Hwang, Stephen F. Smith, and Kimberle Koile
year	2006
title	Learning from Main Streets - A machine learning approach identifying neighborhood commercial districts
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. 325-340
summary	In this paper we explore possibilities for using Artificial Intelligence techniques to boost the performance of urban design tools by providing large scale data analysis and inference capability. As a proof of concept experiment we showcase a novel application that learns to identify a certain type of urban setting, Main Streets, based on architectural and socioeconomic features of its vicinity. Our preliminary experimental results show the promising potential for the use of machine learning in the solving of urban planning problems.
keywords	Main street approach, Community development, Artificial intelligence, Machine learning, Active learning algorithm
series	DDSS
last changed	2006/08/29 12:55

_id	caadria2006_179
id	caadria2006_179
authors	KEATRUANGKAMALA K., NILKAEW P.
year	2006
title	STRONG VALID INEQUALITY CONSTRAINTS FOR ARCHITECTURAL LAYOUT DESIGN OPTIMIZATION
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
doi	https://doi.org/10.52842/conf.caadria.2006.x.w5d
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	2006_874
id	2006_874
authors	Lee, Ming-xian and Ji-Hyun Lee
year	2006
title	Form, Style and Function - A Constraint-Based Generative System for Apartment Façade Design
source	Communicating Space(s) [24th eCAADe Conference Proceedings / ISBN 0-9541183-5-9] Volos (Greece) 6-9 September 2006, pp. 874-883
doi	https://doi.org/10.52842/conf.ecaade.2006.874
summary	This paper describes the development of a constraint-based generative system (FSF system) to support the design of middle and high-rise apartment façades from architectural plans. Floor plan and façade designs are heavily interrelated, and, sometimes, the plan constrains the façade design during the design process. This relationship lends itself to apply constraint-based systems and we have designed the system to connect intelligently between apartment plan and façade. In our system, we define constraints into three categories: structural form, architectural style and function. We use genetic algorithm to generate plausible alternatives quickly and augmented by a constraint-based system, façades can be generated and modified much more easily in terms of real-time visual feedback for checking violence of the constraints and of dealing with updates smoothly through intelligent connecting plans to façades.
keywords	Generative system; Plan-to-façade; Constraint-based system; Intelligent CAD; Style description
series	eCAADe
email
last changed	2022/06/07 07:51

_id	fcb4
id	fcb4
authors	Loemker, Thorsten Michael
year	2006
title	Solving Revitalization-Problems by the Use of a Constraint Programming Language
source	IKM 2006, International Conference on the Applications of Computer Science and Mathematics in Architecture and Civil Engineering, Weimar, July 2006
summary	This research focuses on an approach to describe principles in architectural layout planning within the domain of revitalization. With the aid of mathematical rules, which are executed by a computer, solutions to design problems are generated. Provided that “design” is in principle a combinatorial problem, i.e. a constraint-based search for an overall optimal solution of a problem, an exemplary method will be described to solve such problems in architectural layout planning. To avoid conflicts relating to theoretical subtleness, a customary approach adopted from Operations Research has been chosen in this work [1]. In this approach, design is a synonym for planning, which could be described as a systematic and methodical course of action for the analysis and solution of current or future problems. The planning task is defined as an analysis of a problem with the aim to prepare optimal decisions by the use of mathematical methods. The decision problem of a planning task is represented by an optimization model and the application of an efficient algorithm in order to aid finding one or more solutions to the problem. The basic principle underlying the approach presented herein is the understanding of design in terms of searching for solutions that fulfill specific criteria. This search is executed by the use of a constraint programming language.
keywords	Revitalization, Optimization, Constraint Programming, OPL
series	other
type	short paper
email
more	http://euklid.bauing.uni-weimar.de/ikm2006-cd/data/templates/papers/f26.pdf
last changed	2008/10/13 14:02

_id	ascaad2006_paper7
id	ascaad2006_paper7
authors	Lömker, Thorsten M.
year	2006
title	Designing with Machines: solving architectural layout planning problems by the use of a constraint programming language and scheduling algorithms
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	In 1845 Edgar Allan Poe wrote the poem “The Raven”, an act full of poetry, love, passion, mourning, melancholia and death. In his essay “The Theory of Composition” which was published in 1846 Poe proved that the poem is based on an accurate mathematical description. Not only in literature are structures present that are based on mathematics. In the work of famous musicians, artists or architects like Bach, Escher or Palladio it is evident that the beauty and clarity of their work as well as its traceability has often been reached through the use of intrinsic mathematic coherences. If suchlike structures could be described within architecture, their mathematical abstraction could supplement “The Theory of Composition” of a building. This research focuses on an approach to describe principles in architectural layout planning in the form of mathematical rules that will be executed by the use of a computer. Provided that “design” is in principle a combinatorial problem, i.e. a constraint-based search for an overall optimal solution of a design problem, an exemplary method will be described to solve problems in architectural layout planning. Two problem domains will be examined: the design of new buildings, as well as the revitalization of existing buildings. Mathematical and syntactical difficulties that arise from the attempt to extract rules that relate to the process of building design will be pointed out. To avoid conflicts relating to theoretical subtleness a customary approach has been chosen in this work which is adopted from Operations Research. In this approach design is a synonym for planning, which could be described as a systematic and methodical course of action for the analysis and solution of current or future problems. The planning task is defined as an analysis of a problem with the aim to prepare optimal decisions by the use of mathematical methods. The decision problem of a planning task is represented by an optimization model and the application of an efficient algorithm to aid finding one or more solutions to the problem. The basic principle underlying the approach presented herein is the understanding of design in terms of searching for solutions that fulfill specific criteria. This search will be executed by the use of a constraint programming language, which refers to mathematical as well as to integer and mixed integer programming. Examples of architectural layout problems will be presented that can be solved by the use of this programming paradigm. In addition to this, a second programming approach resulting from the domain of resource-allocation has been followed in this research. It will be demonstrated that it is as well possible, to aid architectural layout planning by the use of scheduling algorithms.
series	ASCAAD
email
last changed	2007/11/27 08:22

_id	acadia06_418
id	acadia06_418
authors	Narahara, T., Terzidis, K.
year	2006
title	Multiple-constraint Genetic Algorithm in Housing Design
source	Synthetic Landscapes [Proceedings of the 25th Annual Conference of the Association for Computer-Aided Design in Architecture] pp. 418-425
doi	https://doi.org/10.52842/conf.acadia.2006.418
summary	As architectural projects are becoming increasingly more complex in their formal manifestation as well as in their functional requirements, methods are sought to address these complexities. Genetic algorithms offer an effective solution to the problem allowing multiple constraints to compete as the system evolves towards an optimum configuration that fulfills those constraints. A case study is presented that involves a housing project with multiple environmental, functional, and economic constraints.
series	ACADIA
email
last changed	2022/06/07 07:59

_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	caadria2006_641
id	caadria2006_641
authors	PIYABOON NILKAEW
year	2006
title	ASSISTANT TOOL FOR ARCHITECTURAL LAYOUT DESIGN BY GENETIC ALGORITHM
source	CAADRIA 2006 [Proceedings of the 11th International Conference on Computer Aided Architectural Design Research in Asia] Kumamoto (Japan) March 30th - April 2nd 2006, 641-643
doi	https://doi.org/10.52842/conf.caadria.2006.x.s6m
summary	Architectural design is a very complicated process. It contains many sequences within the design process that the architects have to take into considerations. Within the process, the architect will look for every feasible schematic to make the best decision for developing the final design process. However, the preliminary design involves both conceptual and schematic design that concern about quantitative analysis and qualitative analysis. The objective of this research is to utilize an assistant method or tool to help form a preliminary design and a thinking process by using genetic algorithm to find the feasible solutions for conceptual and schematic design.
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	acadia07_284
id	acadia07_284
authors	Robinson, Kirsten; Gorbet, Robert; Beesley, Philip
year	2007
title	Evolving Cooperative Behaviour in a Reflexive Membrane
source	Expanding Bodies: Art • Cities• Environment [Proceedings of the 27th Annual Conference of the Association for Computer Aided Design in Architecture / ISBN 978-0-9780978-6-8] Halifax (Nova Scotia) 1-7 October 2007, 284-293
doi	https://doi.org/10.52842/conf.acadia.2007.284
summary	This paper describes the integration of machine intelligence into an immersive architectural sculpture that interacts dynamically with users and the environment. The system is conceived to function as an architectural envelope that might transfer air using a distributed array of components. The sculpture includes a large array of interconnected miniature structural and kinetic elements, each with local sensing, actuation, and machine intelligence. We demonstrate a model in which these autonomous, interconnected agents develop cooperative behaviour to maximize airflow. Agents have access to sensory data about their local environment and ‘learn’ to move air through the working of a genetic algorithm. Introducing distributed and responsive machine intelligence builds on work done on evolving embodied intelligence (Floreano et al. 2004) and architectural ‘geotextile’ sculptures by Philip Beesley and collaborators (Beesley et al. 1996-2006). The paper contributes to the general field of interactive art by demonstrating an application of machine intelligence as a design method. The objective is the development of coherent distributed kinetic building envelopes with environmental control functions. A cultural context is included, discussing dynamic paradigms in responsive architecture.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 08:00

_id	acadia06_536
id	acadia06_536
authors	Sprecher, A., Ahrens, C., Neuman, E.
year	2006
title	The Hylomorphic Project
source	Synthetic Landscapes [Proceedings of the 25th Annual Conference of the Association for Computer-Aided Design in Architecture] pp. 536-537
doi	https://doi.org/10.52842/conf.acadia.2006.536
summary	The Hylomorphic Project is a complex canopy structure, genetically evolved as a vital entity that reacts to changing data streams while configuring the architectural form. For the Hylomorphic Project, Open Source Architecture (OSA) together with structural engineer Prof. Kristina Shea and Marina Gourtovaia of Cambridge University (UK) developed genetic algorithms. Performs in eifForm software, an experimental computer-aided design system for structural synthesis, the algorithm is based in computational environments as a methodology for form finding and material expression that goes beyond the formal articulation of the computational procedure. This procedure simulates a topological condition of natural form evolution that can be consolidated according to innumerable trajectories. Seeking dynamic, flexible and continuous evolution procedures, the software provides the required conditions for this type of the design as it consists of a computational core, which is written in C, a fast low-level compiled language. The modules providing interactive access to the core and the graphical user interface (GUI), a high-level scripting language written in Python, allow for easy customization of the software according to a design task in hand.
series	ACADIA
email
last changed	2022/06/07 07:56

_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
source	Communicating Space(s) [24th eCAADe Conference Proceedings / ISBN 0-9541183-5-9] Volos (Greece) 6-9 September 2006, pp. 898-902
doi	https://doi.org/10.52842/conf.ecaade.2006.898
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	ddss2006-hb-467
id	DDSS2006-HB-467
authors	A. Fatah gen. Schieck, A. Penn, V. Kostakos, E. O'Neill, T. Kindberg, D. Stanton Fraser, and T. Jones
year	2006
title	Design Tools for Pervasive Computing in Urban Environments
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. 467-486
summary	In this paper we report on ongoing research in which the implications of urban scale pervasive computing (always and everywhere present) are investigated for urban life and urban design in the heritage environment of the city of Bath. We explore a theoretical framework for understanding and designing pervasive systems as an integral part of the urban landscape. We develop a framework based on Hillier's Space Syntax theories and Kostakos' PSP framework which encompasses the analysis of space and spatial patterns, alongside the consideration of personal, social and public interaction spaces to capture the complex relationship between pervasive systems, urban space in general and the impact of the deployment of pervasive systems on people's relationships to heritage and to each other. We describe these methodological issues in detail before giving examples from early studies of the types of result we are beginning to find.
keywords	Urban space, Pervasive systems, Urban computing, Space Syntax, Interaction space
series	DDSS
last changed	2006/08/29 12:55

_id	sigradi2006_c129b
id	sigradi2006_c129b
authors	Abad, Gabriel; Adriane Borde; Mónica Fuentes; Virginia Agrielav; Adriana Granero and Jacqueline Fernández
year	2006
title	Producción colaborativa de material de enseñanza-aprendizaje de Gráfica Digital con aportes multidisciplinarios [Collaborative production for taught-learning materials for digital graphic with multidisciplinary contributions]
source	SIGraDi 2006 - [Proceedings of the 10th Iberoamerican Congress of Digital Graphics] Santiago de Chile - Chile 21-23 November 2006, pp. 117-121
summary	For a contribution to problem solving processes at different areas, this paper presents the use of Digital Graphics as a knowledge object for a distance teaching/learning workshop. At the Learning Management System, different theoretical subjects with supporting tools were proposed, and exercises requiring collaborative work. An specific didactic situation using available technologies at Internet for 3D modelling, combined with satellite images and geographic information program was proposed. The final works were then shared by a 3D models repository. As a complement of this experience and in relation with their professional work, every student proposed a new didactic situation including Learning Objects, sharing them with the others members of the group, through conceptual maps built up in a co-operative way.
series	SIGRADI
email
last changed	2016/03/10 09:47

For more results click below: