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

id acadia06_418
authors Narahara, T., Terzidis, K.
year 2006
title Multiple-constraint Genetic Algorithm in Housing Design
source Synthetic Landscapes [Proceedings of the 25th Annual Conference of the Association for Computer-Aided Design in Architecture] pp. 418-425
summary As architectural projects are becoming increasingly more complex in their formal manifestation as well as in their functional requirements, methods are sought to address these complexities. Genetic algorithms offer an effective solution to the problem allowing multiple constraints to compete as the system evolves towards an optimum configuration that fulfills those constraints. A case study is presented that involves a housing project with multiple environmental, functional, and economic constraints.
series ACADIA
email kostas@gsd.harvard.edu
full text file.pdf (2,662,296 bytes)
references Content-type: text/plain
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