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 caadria2009_065
authors Li, Biao; Rong Li
year 2009
title Optimal Organization of Architectural Spaces Based on Genetic Algorithm
source Proceedings of the 14th International Conference on Computer Aided Architectural Design Research in Asia / Yunlin (Taiwan) 22-25 April 2009, pp. 653-661
summary Genetic algorithms categorized as global search heuristics are search technique of seeking approximate or exact solutions for optimizing problems. Our generative tool named notchSpace starts from a population of randomly generated individuals which rationally subdivide architectural spaces with a low “fitness”. During generations’ evolution, the population is recombined, modified and mutated at a low rate to form new modes of building spatial subdivision; a new population is used in the next iteration. NotchSpace works up a research platform to evolve architectural spaces, and it explores the thinking of translation from computer algorithms to the field of architecture.
keywords Genetic algorithms; evolutions; fitness; crossover
series CAADRIA
full text file.pdf (1,310,645 bytes)
references Content-type: text/plain
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