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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
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_id	4805
authors	Bentley, P.
year	1999
title	Evolutionary Design by Computers Morgan Kaufmann
source	San Francisco, CA
summary	Computers can only do what we tell them to do. They are our blind, unconscious digital slaves, bound to us by the unbreakable chains of our programs. These programs instruct computers what to do, when to do it, and how it should be done. But what happens when we loosen these chains? What happens when we tell a computer to use a process that we do not fully understand, in order to achieve something we do not fully understand? What happens when we tell a computer to evolve designs? As this book will show, what happens is that the computer gains almost human-like qualities of autonomy, innovative flair, and even creativity. These 'skills'which evolution so mysteriously endows upon our computers open up a whole new way of using computers in design. Today our former 'glorified typewriters' or 'overcomplicated drawing boards' can do everything from generating new ideas and concepts in design, to improving the performance of designs well beyond the abilities of even the most skilled human designer. Evolving designs on computers now enables us to employ computers in every stage of the design process. This is no longer computer aided design - this is becoming computer design. The pages of this book testify to the ability of today's evolutionary computer techniques in design. Flick through them and you will see designs of satellite booms, load cells, flywheels, computer networks, artistic images, sculptures, virtual creatures, house and hospital architectural plans, bridges, cranes, analogue circuits and even coffee tables. Out of all of the designs in the world, the collection you see in this book have a unique history: they were all evolved by computer, not designed by humans.
series	other
last changed	2003/04/23 15:14

_id	b8c3
authors	Rosenman, M.A. and Gero, J.S.
year	1999
title	Evolving designs by generating useful complex gene structures
source	P. Bentley (Ed.), Evolutionary Design by Computers, Morgan Kaufmann, San Francisco, pp. 345-364
summary	This chapter presents two examples of work for evolving designs by generating useful complex gene structures. where the first example uses a genetic engineering approach whereas the other uses a growth model of form. Both examples have as their motivation to overcome the combinatorial effect of large design spaces by focussing the search in useful areas. This focussing is achieved by starting with design spaces defined by low-level basic genes and creating design spaces defined by increasingly more complex gene structures. In both cases the low-level basic genes represent simple design actions which when executed produce parts of design solutions. Both works are exemplified in the domain of architectural floor plans.
keywords	Evolutionary Systems, Genetic Engineering
series	other
email
last changed	2003/04/06 09:22

_id	616c
authors	Bentley, Peter J.
year	1999
title	The Future of Evolutionary Design Research
source	AVOCAAD Second International Conference [AVOCAAD Conference Proceedings / ISBN 90-76101-02-07] Brussels (Belgium) 8-10 April 1999, pp. 349-350
summary	The use of evolutionary algorithms to optimise designs is now well known, and well understood. The literature is overflowing with examples of designs that bear the hallmark of evolutionary optimisation: bridges, cranes, electricity pylons, electric motors, engine blocks, flywheels, satellite booms -the list is extensive and evergrowing. But although the optimisation of engineering designs is perhaps the most practical and commercially beneficial form of evolutionary design for industry, such applications do not take advantage of the full potential of evolutionary design. Current research is now exploring how the related areas of evolutionary design such as evolutionary art, music and the evolution of artificial life can aid in the creation of new designs. By employing techniques from these fields, researchers are now moving away from straight optimisation, and are beginning to experiment with explorative approaches. Instead of using evolution as an optimiser, evolution is now beginning to be seen as an aid to creativity -providing new forms, new structures and even new concepts for designers.
series	AVOCAAD
email
last changed	2005/09/09 10:48

_id	ga0009
id	ga0009
authors	Lewis, Matthew
year	2000
title	Aesthetic Evolutionary Design with Data Flow Networks
source	International Conference on Generative Art
summary	For a little over a decade, software has been created which allows for the design of visual content by aesthetic evolutionary design (AED) [3]. The great majority of these AED systems involve custom software intended for breeding entities within one fairly narrow problem domain, e.g., certain classes of buildings, cars, images, etc. [5]. Only a very few generic AED systems have been attempted, and extending them to a new design problem domain can require a significant amount of custom software development [6][8]. High end computer graphics software packages have in recent years become sufficiently robust to allow for flexible specification and construction of high level procedural models. These packages also provide extensibility, allowing for the creation of new software tools. One component of these systems which enables rapid development of new generative models and tools is the visual data flow network [1][2][7]. One of the first CG packages to employ this paradigm was Houdini. A system constructed within Houdini which allows for very fast generic specification of evolvable parametric prototypes is described [4]. The real-time nature of the software, when combined with the interlocking data networks, allows not only for vertical ancestor/child populations within the design space to be explored, but also allows for fast "horizontal" exploration of the potential population surface. Several example problem domains will be presented and discussed. References: [1] Alias \| Wavefront. Maya. 2000, http://www.aliaswavefront.com [2] Avid. SOFTIMAGE. 2000, http://www.softimage.com [3] Bentley, Peter J. Evolutionary Design by Computers. Morgan Kaufmann, 1999. [4] Lewis, Matthew. "Metavolve Home Page". 2000, http://www.cgrg.ohio-state.edu/~mlewis/AED/Metavolve/ [5] Lewis, Matthew. "Visual Aesthetic Evolutionary Design Links". 2000, http://www.cgrg.ohio-state.edu/~mlewis/aed.html [6] Rowley, Timothy. "A Toolkit for Visual Genetic Programming". Technical Report GCG-74, The Geometry Center, University of Minnesota, 1994. [7] Side Effects Software. Houdini. 2000, http://www.sidefx.com [8] Todd, Stephen and William Latham. "The Mutation and Growth of Art by Computers" in Evolutionary Design by Computers, Peter Bentley ed., pp. 221-250, Chapter 9, Morgan Kaufmann, 1999.
series	other
email
more	http://www.generativeart.com/
last changed	2003/08/07 17:25

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