id 
ecaade2016_157 
authors 
Kulcke, Matthias and Lorenz, Wolfgang E. 
year 
2016 
title 
Utilizing Gradient Analysis within Interactive Genetic Algorithms 
source 
Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity  Proceedings of the 34th eCAADe Conference  Volume 2, University of Oulu, Oulu, Finland, 2226 August 2016, pp. 359364 
wos 
WOS:000402064400035 
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 proportioncomplexity 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 angleredundancy and lengthredundancy 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, colourcombinations and proportion. The latter comes under scrutiny if the method of gradient analysis is applied. 
keywords 
Gradient Analysis; Interactive Genetic Algorithm; Design Complexity; Redundancy; Spatial Analysis; Form and Geometry; Proportion 
series 
eCAADe 
email 
matthias.kulcke@tuharburg.de 
full text 
file.pdf (2,037,740 bytes) 
references 
Contenttype: text/plain

Coates, P (2010)
The Programming of Architecture
, Routledge, New York




Kulcke, M and Lorenz, W (2015)
GradientAnalysis: Method and Software to Compare Different Degrees of Complexity in the Design of Architecture and Designobjects
, Martens, Bob; Wurzer, Gabriel; Grasl, Thomas; Lorenz, Wolfgang; Schaffranek, Richard. Real Time  Proceedings of the 33rd International Conference on Education and Research in Computer Aided Architectural Design in Europe, Wien, pp. 415424




Poirson, E, Petiot, J, Aliouat, E, Boivin, L and Blumenthal, D (2010)
Study of the convergence of Interactive Genetic Algorithm in iterative user's tests: application to car dashboard design
, Proceedings of IDMME  Virtual Concept 2010, Bordeaux




last changed 
2017/06/28 08:46 
