Treffer: MultiCAD-GA: A system for the design of 3D forms based on genetic algorithms and human evaluation

Title:
MultiCAD-GA: A system for the design of 3D forms based on genetic algorithms and human evaluation
Source:
Methods and applications of artificial intelligence (Thessaloniki, 11-12 April 2002)Lecture notes in computer science. :203-214
Publisher Information:
Berlin: Springer, 2002.
Publication Year:
2002
Physical Description:
print, 20 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Technological Educational Institution of Athens, Department of Computer Science, Ag. Spyridonos St., 122 10 Egaleo, Greece
Université de Limoges, Laboratoire Méthodes et Structures Informatiques, 83 rue d'lsle, 87000 Limoges, France
ISSN:
0302-9743
Rights:
Copyright 2002 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.14056218
Database:
PASCAL Archive

Weitere Informationen

The solution engine of MultiCAD-GA, presented in this work, is a part of a new software environment for efficient search for solutions in heavily demanding applications involving the design of three-dimensional forms, such as those of architectural and interior decoration design. MultiCAD-GA starts by using constraint programming techniques in order to find a set (population) of solutions (forms) that satisfy the spatial constraints imposed by the user and create an initial generation. In the sequel, it applies genetic operators to generate new solutions and interacts with the user in order to evaluate the solutions and increase the speed of convergence to those forms that satisfy his/her aesthetics. The forms are coded into chromosomes using the usual binary strings. Visualization of the results is performed through the VRML graphics language.