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
id ecaade2015_180
authors Doe, Robert and Aitchison, Mathew
year 2015
title Multi-criteria Optimisation in the Design of Modular Homes - From Theory to Practice
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. 295-304
wos WOS:000372317300032
summary Multi-criteria optimisation searches by a genetic algorithm define a Pareto optimal front, a state in which one objective can only be improved at the expense of another. But optimisation is not a search for the best but for better - the goal is to improve performance by trading-off conflicting criteria or objectives. A live case study is the focus of this search with parameters behaving as genes and objectives as the environmental shapers of the phenotype. The genetic algorithm is an effective and powerful tool in the computational design tool box, one which can improve the design process and the fitness of its outcomes.
series eCAADe
full text file.pdf (5,712,483 bytes)
references Content-type: text/plain
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