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

_id	ae5f
authors	Krishnamurti, Ramesh
year	1986
title	Modelling Design Descriptions
source	January, 1986. [5] p. : ill
summary	This paper reports some of the principles that underlie a modelling environment being developed at EdCAAD. It describes research that is part of a larger programme directed at computer-based systems that can accommodate the idiosyncratic nature of design practice, without prescriptions to the form or content of designs. That is, towards developing systems to assist in the design process by enabling designers -via conversations with the machine - to make 'reasonable' statements about design objects; to ask 'reasonable' questions about these objects; and to perform 'reasonable' tasks on these objects. Implicit in the authors' approach is the view that designing is an activity dependent on designers' perceptions of design tasks and their resolution. In the context of computer-aided design, this view of design demands that the crucial element in any machine environment lies in the ability of the machine to accept (partial) descriptions of design objects. Moreover, these descriptions can be manipulated according to some (perhaps unanticipated) criteria that the designer may wish to apply. The authors present a model for intentional descriptions of objects. That is, a description that can be structures so that it can be used to recognize objects and can be compared with other descriptions. Such a description of an object should be organized around entities with associated descriptions, it must be able to represent partial knowledge about an object, and it must accommodate multiple descriptors which can describe the object from different viewpoints. Last, but not least, these descriptions should possess a quality of 'truth' in that they reflect the (factual or otherwise) beliefs held by the designer. One way to treat these descriptions is to regard them as statements that belong to some logical framework
keywords	design process, representation, intentionallity
series	CADline
last changed	1999/02/12 15:08

_id	acadia15_357
id	acadia15_357
authors	Ashour, Yassin; Kolarevic, Branko
year	2015
title	Heuristic Optimization in Design
doi	https://doi.org/10.52842/conf.acadia.2015.357
source	ACADIA 2105: Computational Ecologies: Design in the Anthropocene [Proceedings of the 35th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-53726-8] Cincinnati 19-25 October, 2015), pp. 357-369
summary	This paper presents a workflow called the ‘heuristic optimization workflow’ that integrates Octopus, a Multi-Objective Optimization (MOO) engine with Grasshopper3D, a parametric modeling tool, and multiple simulation software. It describes a process that enables the designer to integrate disparate domains via Octopus and complete a feedback loop with the developed interactive, real-time visualization tools. A retrospective design of the Bow Tower in Calgary is used as a test case to study the impact of the developed workflow and tools, as well as the impact of MOO on the performance of the solutions. The overall workflow makes MOO based results more accessible to designers and encourages a more interactive ‘heuristic’ exploration of various geometric and topological trajectories. The workflow also reduces design decision uncertainty and design cycle latency through the incorporation of a feedback loop between geometric models and their associated quantitative data. It is through the juxtaposition of extreme performing solutions that serendipity is created and the potential for better multiple performing solutions is increased.es responsive systems, which focus on the implementation of multi-objective adaptive design prototypes from sensored environments. The intention of the work is to investigate multi-objective criteria both as a material system and as a processing system by creating prototypes with structural integrity, where the thermal energy flow through the prototype, to be understood as a membrane, can be controlled and the visual transparency altered. The work shows performance based feedback systems and physical prototype models driven by information streaming, screening, and application.
keywords	Multi-Objective Optimization, Generative Design, Performance-Based Design
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	ecaade2015_130
id	ecaade2015_130
authors	Asl, Mohammad Rahmani; Stoupine, Alexander, Zarrinmehr, Saied and Yan, Wei
year	2015
title	Optimo: A BIM-based Multi-Objective Optimization Tool Utilizing Visual Programming for High Performance Building Design
doi	https://doi.org/10.52842/conf.ecaade.2015.1.673
source	Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 1, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 673-682
summary	Within the architecture, engineering, and construction (AEC) industry, the application of multidisciplinary optimization methods has been shown to reach significant improvements in building performance compared to conventional design methods. As a result, the use of multidisciplinary optimization in the process of design is growing and becoming a common method that provides desired performance feedback for decision making. However, there is a lack of BIM-based multidisciplinary optimization tools that use the rich information stored in Building Information Models (BIM) to help designers explore design alternatives across multiple competing design criteria. In this paper we introduce Optimo, an open-source visual programming-based Multi-Objective Optimization (MOO) tool, which is developed to parametrically interact with Autodesk Revit for BIM-based optimization. The paper details the development process of Optimo and also provides the initial validation of its results using optimization test functions. Finally, strengths, limitations, current adoption by academia and industry, and future improvements of Optimo for building performance optimization are discussed.
wos	WOS:000372317300073
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_138
id	ecaadesigradi2019_138
authors	Kim, Yujin
year	2019
title	Bioinspired Modularity in Evolutionary Computation and a Rule-Based Logic - Design Solutions for Shared Office Space
doi	https://doi.org/10.52842/conf.ecaade.2019.2.341
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 341-348
summary	Evolutionary computation is a population-based problem solver that is characterized by a stochastic optimization in order to solve both a single objective and multiple objectives. Previous evolutionary computational researches provided various design options and improved optimization through being evolved with fitness criteria, especially when multiple design objectives conflict with one another. In this paper, a rule-based algorithm was combined with the evolutionary computational process to propose an assembly logic of the modules and to improve an architectural building design in order to adapt to environmental changes. Two algorithms - a rule based and generative algorithm- proceeded simultaneously and provided various options as well as optimization in real time. For the experiment set-up, existing buildings were divided into each module; the modules were reinterpreted and reassembled with the logic driven by Evolutionary Developmental Biology. The conclusion is that when a rule based logic is combined with a developmental algorithm with a modular system, it is more efficient for the design process to be analyzed, evaluated, and optimized. The ultimate outcome provides various options in a short amount of time.
keywords	Evolutionary computation; rule-based algorithm; modularity; reassembly
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_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	cf2015_347
id	cf2015_347
authors	Krakhofer, Stefan
year	2015
title	Closing the Loop: From Analysis to Transformation within BIM
source	The next city - New technologies and the future of the built environment [16th International Conference CAAD Futures 2015. Sao Paulo, July 8-10, 2015. Electronic Proceedings/ ISBN 978-85-85783-53-2] Sao Paulo, Brazil, July 8-10, 2015, pp. 347-357.
summary	The shift from traditional CAD to BIM has created a significant potential to embed optimization processes in many stages of the design. The presented research is situated in the early design stage of inception and concept, focusing on analysis-driven-form-finding during the integrated design approach within a BIM environment. A custom analysis framework, has been developed and linked to a visual programming environment that allows the exchange of data with the parametric components of a BIM environment. The developed workflow and sequential split of functionalities enables a shared design environment for multiple experts and the design-team. The environment is intended to close the loop from analysis to parametric modeling in order to generate and evaluate building designs against performance criteria, with the aim to expedite the design decision process. The prototype has been presented to participants of the Deep-Space Cluster at SmartGeometry 2014.
keywords	Algorithmic Design, Parametric Design, Parametric Analysis, Building Information Modeling, Design Automation.
series	CAAD Futures
email
last changed	2015/06/29 07:55

_id	ijac201816403
id	ijac201816403
authors	Pantazis, Evangelos and David Gerber
year	2018
title	A framework for generating and evaluating façade designs using a multi-agent system approach
source	International Journal of Architectural Computing vol. 16 - no. 4, 248-270
summary	Digital design paradigms in architecture have been rooted in representational models which are geometry centered and therefore fail to capture building complexity holistically. Due to a lack of computational design methodologies, existing digital design workflows do little in predicting design performance in the early design stage and in most cases analysis and design optimization are done after a design is fixed. This work proposes a new computational design methodology, intended for use in the area of conceptual design of building design. The proposed methodology is implemented into a multi-agent system design toolkit which facilitates the generation of design alternatives using stochastic algorithms and their evaluation using multiple environmental performance metrics. The method allows the user to probabilistically explore the solution space by modeling the design parameters’ architectural design components (i.e. façade panel) into modular programming blocks (agents) which interact in a bottom-up fashion. Different problem requirements (i.e. level of daylight inside a space, openings) described into agents’ behavior allow for the coupling of data from different engineering fields (environmental design, structural design) into the a priori formation of architectural geometry. In the presented design experiment, a façade panel is modeled into an agent-based fashion and the multi-agent system toolkit is used to generate and evolve alternative façade panel configurations based on environmental parameters (daylight, energy consumption). The designer can develop the façade panel geometry, design behaviors, and performance criteria to evaluate the design alternatives. The toolkit relies on modular and functionally specific programming modules (agents), which provide a platform for façade design exploration by combining existing three-dimensional modeling and analysis software.
keywords	Generative design, multi-agent systems, façade design, agent-based modeling, stochastic search
series	journal
email
last changed	2019/08/07 14:04

_id	ddss9474
id	ddss9474
authors	Pereira, A.G., Munda, G. and Paruccini, M.
year	1994
title	Generating Alternatives For Siting Using Genetic Algorithms and Multiple Criteria Decision Techniques
source	Second Design and Decision Support Systems in Architecture & Urban Planning (Vaals, the Netherlands), August 15-19, 1994
summary	It is believed that a fundamental step in the structuring of a siting problem is generating alternati-ves. This task should occur at the beginning of a process for facility location, giving a preliminary insight into the feasibility of the project in the area of concern by identifying a manageable number of feasible alternatives for careful review and consideration. The purpose of this paper is to present a methodology aimed at generating alternatives for siting of facilities taking into account a number of criteria. These criteria comprise environmental, economical and the action's inherent technical aspects. The search is carried out by applying genetic algorithms (GA's) which are natural phenomena based algorithms for optimization and random search procedures. According to the GA's terminology, a fitness function measures the worth of each candidate alternative codified into a chromosome. It was thought that the merging of aspects of multiple criteria theory and genetic algorithms is essential for the problem of generating alternatives in location problems. The aim of this integration is the improvement of the theoretical principles upon which the fitness function is based, leading to the construction of a robust set of alternatives. The paper describes the integration of both multiple criteria theory and GA's and discusses the results.
series	DDSS
email
last changed	2003/08/07 16:36

_id	caadria2020_035
id	caadria2020_035
authors	Pereira, InÃªs, BelÃ©m, Catarina and LeitÃ£o, AntÃ³nio
year	2020
title	Escaping Evolution - A Study on Multi-Objective Optimization
doi	https://doi.org/10.52842/conf.caadria.2020.1.295
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 295-304
summary	The architectural field is currently experiencing a paradigm shift towards a more environmentally-aware design process. In this new paradigm, known as Performance-Based Design (PBD), building performance emerges as a guiding principle. Unfortunately, PBD entails several problems, for instance, building design is often associated with the simultaneous assessment of multiple performance criteria, which dramatically increases the complexity of the problem. In this vein, recent works claim that coupling optimization tools with PBD approaches allows for more efficient and optima-oriented strategies. This approach, known as Algorithmic Optimization, is based on the use of an optimization tool combined with a parametric model of a design to iteratively generate more efficient design alternatives. This paper focus on evaluating and comparing different classes of Multi-Objective Optimization (MOO) algorithms, namely, metaheuristics and model-based ones. In addition, in order to try to better understand the algorithms' suitability to different optimization problems, this research analyses two different MOO design problems.
keywords	Performance-Based Design; Algorithmic Optimization; Multi-Objective Optimization
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	ecaade2014_019
id	ecaade2014_019
authors	Reinhard Koenig, Matthias Standfest and Gerhard Schmitt
year	2014
title	Evolutionary multi-criteria optimization for building layout planning - Exemplary application based on the PSSA framework
doi	https://doi.org/10.52842/conf.ecaade.2014.2.567
source	Thompson, Emine Mine (ed.), Fusion - Proceedings of the 32nd eCAADe Conference - Volume 2, Department of Architecture and Built Environment, Faculty of Engineering and Environment, Newcastle upon Tyne, England, UK, 10-12 September 2014, pp. 567-574
summary	When working on urban planning projects there are usually multiple aspects to consider. Often these aspects are contradictory and it is not possible to choose one over the other; instead, they each need to be fulfilled as well as possible. Planners typically draw on past experience when subjectively prioritising which aspects to consider with which degree of importance for their planning concepts. This practice, although understandable, places power and authority in the hands of people who have varying degrees of expertise, which means that the best possible solution is not always found, because it is either not sought or the problem is regarded as being too complex for human capabilities. To improve this situation, the project presented here shows the potential of multi-criteria optimisation algorithms using the example of a new housing layout for an urban block. In addition it is shown, how Self-Organizing-Maps can be used to visualise multi-dimensional solution spaces in an easy analysable and comprehensible form.
wos	WOS:000361385100059
keywords	Planning synthesis; evolutionary algorithms; multi-criteria optimization; isovist; computational design
series	eCAADe
email
last changed	2022/06/07 08:00

_id	ijac202119313
id	ijac202119313
authors	Saldana Ochoa, Karla; Ohlbrock, Patrick Ole; D’Acunto, Pierluigi; Moosavi, Vahid
year	2021
title	Beyond typologies, beyond optimization: Exploring novel structural forms at the interface of human and machine intelligence
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 466–490
summary	This article presents a computer-aided design framework for the generation of non-standard structural forms in static equilibrium that takes advantage of the interaction between human and machine intelligence. The design framework relies on the implementation of a series of operations (generation, clustering, evaluation, selection, and regeneration) that allow to create multiple design options and to navigate in the design space according to objective and subjective criteria defined by the human designer. Through the interaction between human and machine intelligence, the machine can learn the nonlinear correlation between the design inputs and the design outputs preferred by the human designer and generate new options by itself. In addition, the machine can provide insights into the structural performance of the generated structural forms. Within the proposed framework, three main algorithms are used: Combinatorial Equilibrium Modeling for generating of structural forms in static equilibrium as design options, Self-Organizing Map for clustering the generated design options, and Gradient-Boosted Trees for classifying the design options. These algorithms are combined with the ability of human designers to evaluate non-quantifiable aspects of the design. To test the proposed framework in a real-world design scenario, the design of a stadium roof is presented as a case study.
keywords	Structural design, machine learning, topology, graphic statics, form-finding, Combinatorial Equilibrium Modeling, Self-Organizing Map, Gradient-Boosted Trees
series	journal
email
last changed	2024/04/17 14:29

_id	acadia17_562
id	acadia17_562
authors	Soler, Vicente; Retsin, Gilles; Jimenez Garcia, Manuel
year	2017
title	A Generalized Approach to Non-Layered Fused Filament Fabrication
doi	https://doi.org/10.52842/conf.acadia.2017.562
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 562- 571
summary	This research attempts to generalize an approach for large-scale, non-layered spatial extrusion. The methodology consists of splitting a volume, representing any arbitrary geometry, into discrete fragments with a finite number of possible arrangements. These fragments are combined in response to a series of design criteria. A novel application of graph theory algorithms is used to generate a continuous and non-overlapping path through the discrete segments. Physical and mechanical issues related to extrusion technology are explored. The computational model takes into consideration the grade and limitations of different kinds of equipment and material properties to counteract fabrication errors with the goal of speeding up the process and eliminating any need for human intervention. This approach is implemented as a cross-platform software product and programming library that can generate robot programs compatible with multiple industrial robot manufacturers. A physical prototype was fabricated using the seminal Panton Chair as a test model. We conclude that the computational approach is sound and most of the issues encountered were due to the equipment used. This will be addressed in future work.
keywords	design methods; information processing; simulation & optimization; construction/robotics
series	ACADIA
email
last changed	2022/06/07 07:56

_id	ecaade2007_011
id	ecaade2007_011
authors	Tessmann, Oliver
year	2007
title	Structural Analysis as Driver in Surface-based Design Approaches
doi	https://doi.org/10.52842/conf.ecaade.2007.109
source	Predicting the Future [25th eCAADe Conference Proceedings / ISBN 978-0-9541183-6-5] Frankfurt am Main (Germany) 26-29 September 2007, pp. 109-115
summary	This ongoing research argues for novel strategies to integrate structural analysis data in an architectural design approach. Instead of a linear procedure of synthesis, analysis and post-rationalisation a synthesis/analysis loop is installed that uses structural analysis data as design driver from early on. The approach is not aiming for a pure force-driven form-finding or optimization process but regards structural performance as one design criteria among others. Equilibrium between multiple parameters is aspired instead of a single-parameter-optimum. The research is conducted by a custom-made digital interface between a 3d modelling software and an application for structural analysis of space frames structures. Surfaces are translated into meshes with supports at user-defined nodes and then exposed to its dead load in the structural analysis software. The resulting nodal deviation is feed into an algorithm that steers the appropriate reaction towards the local stresses and deviations, taking into account the mesh topology, its supports and their position in the mesh. The initial mesh is optimized in shape transformed back into a double-layer surface model in the 3d software which evolves into an interconnected two-layer space frame. An instant feedback from synthesis to analysis and vice versa is installed. Analysing techniques migrate into the realm of synthesis.
keywords	Optimization, collaborative design, structure and surface
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ascaad2021_153
id	ascaad2021_153
authors	Valitabar, Mahdi; Mohammadjavad Mahdavinejad, Henry Skates, Peiman Pilechiha
year	2021
title	Data-Driven Design of Adaptive Façades: View, Glare, Daylighting and Energy Efficiency
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 699-711
summary	This paper attempts to increase occupants’ view to outside through Adaptive facades by employing a parametric design method. Reaching a balance between occupants’ requirements and the building energy criteria is the main objective of this research. To this end, a multi-objective optimization is done to generate some optimum models. The method, indeed, was used to optimize the shading size of a dynamic vertical shading system utilized on the south façade of a single office room located in Tehran. The shading system was defined by five parameters and a combination of Cut-off and a glare protection strategy is used to control dynamic shadings. The size-optimisation objectives are minimum DGP, cooling load and maximum illuminance, which were analysed by Ladybug Tools. Then, Octopus was used for multi-objective optimistion to find new optimum forms. Along with the openness factor, a new index is presented to evaluate the outside view in multiple louver shading systems, named “Openness Curvature Factor” (OCF). Thanks to this method, the size and shape of some optimum generated models were modified to increase the amount of OCF. Following that the Honeybee Plus is used to simulate the visual performance of modified models which shows a significant improvement. The modified models could provide about 4 times more outside view than generated models whilst keeping the DGP value in imperceptible range. Geometric or even complex non-geometric shading forms can be studied by this method to find optimum adaptive facades.
series	ASCAAD
email
last changed	2021/08/09 13:14

_id	ecaadesigradi2019_265
id	ecaadesigradi2019_265
authors	Vegas, Gonzalo, Bernal, Marcelo and Calvo, Francisco
year	2019
title	Multi-Criteria Agent Based Systems - Generation of circulations through local decisions
doi	https://doi.org/10.52842/conf.ecaade.2019.2.121
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 121-130
summary	This study explores to what extent Agent Based Systems (ABS) can handle multi-criteria optimization problems. The implementation of ABS in the field of optimization has limitations to address multiple criteria in a continuous generation process due to ABS usually merge the perceived information in a single response. To address this limitation, we increase the responsiveness of the systems through a multiple production approach. This approach breaks down the problem into two parts: the configuration through the interactions of the agents, and the overall performance through their local decisions. The method is tested in a case study of the network circulations of a park, optimizing the slope, views and sun. Performance and differentiation capabilities are evaluated in populations generated in two different scenarios. Data analysis methods verify the effectiveness of the algorithm and quantify the influence of each parameter on the final results.
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	7992
id	7992
authors	von Buelow, Peter
year	2002
title	USING EVOLUTIONARY ALGORITHMS TO AID DESIGNERS OF ARCHITECTURAL STRUCTURES
source	Creative evolutionary systems, eds Bentley, Peter & Corne, David, Morgan Kaufmann, pp 315-336
summary	This paper describes the application of an Intelligent Genetic Design Tool (IGDT) in the design of architectural, structural elements. As a computer design aid an IGDT is innovative in its intelligent interaction with the designer. By always submitting multiple solutions for review by the designer, it is less likely to cause design fixation than other optimization techniques, and allows the user greater range in exploring hard-to-code design criteria such as aesthetics. As an example, the design of a cantilever truss is briefly explored. Using the coded optimization criterion of weight, and the designer's non-coded criteria of visual aesthetics and performance, a series of possible designs are explored. The ability of an IGDT to intelligently respond to the designer's preferences in a way that promotes creative thinking on the part of the designer is demonstrated. A final truss design is selected based on the use of the tool. It is concluded that an IGDT offers a significantly different approach to computer aided structural design which has the potential to enhance the user's own creativity in determining a good solution.
keywords	evolutionary form exploration genetic algorithm design
series	book
type	normal paper
email
last changed	2006/04/07 21:55

_id	0f76
authors	Balachandran, M. B. and Gero, John S.
year	1986
title	Knowledge-based Design Optimization
source	IAAI'86 Conference. 1986. pp. i:4:1-14
summary	CADLINE has abstract only. Optimization is a well understood process in design domains. A designer formulates the design problem as a single criterion or multicriteria optimization problem and then selects an appropriate optimization algorithm to search for the optimal values for the design variables. The formulation and algorithm selection procedures have been considered to be activities which relied on substantive human knowledge. This paper describes a computer system, OPTIMA, which formulates design optimization problems from a pseudo-English description into canonical algebraic expressions. It then recognizes the formulation and selects appropriate algorithm(s) for their solutions. Finally, it runs the selected algorithm(s) and sends the results to the original descriptions. Areas of expert knowledge involved in carrying out the above tasks are identified. Such knowledge is explicitly encoded in the systems. The basic philosophy and key features of the system are described and are illustrated by examples
keywords	algorithms, expert systems, knowledge base, design, optimization, structures, engineering
series	CADline
email
last changed	2003/06/02 13:58

_id	e220
authors	Balachandran, M.B. and Gero, John S.
year	1986
title	Formulating and Recognizing Engineering Optimization Problems
source	Aus. Conf Mechs. Struct. and Mats (10th : 1986 : Adelaide) edited by G. Sved. pp. 223-228. CADLINE has abstract only.
summary	In applying optimization methodology to engineering design, a considerable amount of knowledge is utilized to construct and solve mathematical design models. However, computer based systems to assist this process have concentrated mainly on the numeric computational aspects of the process. This paper outlines a computer system which uses a knowledge-based systems approach to formulate and recognize design optimization problems. Areas of expert knowledge involved in mathematical design modeling and optimization are identified. Such knowledge is encoded explicitly in the system. An example is presented
keywords	knowledge base, systems, engineering, design, mathematics, modeling, structures
series	CADline
email
last changed	2003/06/02 13:58

_id	6733
authors	Bettels, Juergen and Myers, David R.
year	1986
title	The PIONS Graphics System
source	IEEE Computer Graphics and Applications. July, 1986. vol. 6: pp. 30-38 : col. ill. includes a short bibliography
summary	During 1979, CERN began to evaluate how interactive computer graphics displays could aid the analysis of high-energy physics experiments at the new Super Proton Synchrotron collider. This work led to PIONS, a 3D graphics system, which features the ability to store and view hierarchical graphics structures in a directed-acyclic-graph database. It is possible to change the attributes of these structures by making selections on nongraphical information also stored in the database. PIONS is implemented as an object-oriented message-passing system based on SmallTalk design principles. It supports multiple viewing transformations, logical input devices, and 2D and 3D primitives. The design allows full use to be made of display hardware that provides dynamic 3D picture transformation
keywords	visualization, computer graphics, database, systems, modeling
series	CADline
last changed	2003/06/02 13:58

_id	644f
authors	Bijl, Aart
year	1986
title	Designing with Words and Pictures in a Logic Modelling Environment
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 128-145
summary	At EdCAAD we are interested in design as something people do. Designed artefacts, the products of designing, are interesting only in so far as they tell us something about design. An extreme expression of this position is to say that the world of design is the thoughts in the heads of designers, plus the skills of designers in externalizing their thoughts; design artifacts, once perceived and accepted in the worlds of other people, are no longer part of the world of design. We can describe design, briefly, as a process of synthesis. Design has to achieve a fusion between parts to create new parts, so that the products are recognized, as having a right and proper place in the world of people. Parts should be understood as referring to anything - physical objects, abstract ideas, aspirations. These parts occur in some design environment from which parts are extracted, designed upon and results replaced; in the example of buildings, the environment is people and results have to be judged by reference to that environment. It is characteristic of design that both the process and the product are not subject to explicit and complete criteria. This view of design differs sharply from the more orthodox understanding of scientific and technological endeavours which rely predominantly on a process of analysis. In the latter case, the approach is to decompose a problem into parts until individual parts are recognized as being amenable to known operations and results are reassembled into a solution. This process has a peripheral role in design when evaluating selected aspects of tentative design proposals, but the absence of well-defined and widely recognized criteria for design excludes it from the main stream of analytical developments.
series	CAAD Futures
last changed	2003/11/21 15:16

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