TY - GEN
T1 - Multiple-constraint genetic algorithm in housing design
AU - Narahara, Taro
AU - Terzidis, Kostas
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=84859201339&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84859201339
SN - 0978946308
SN - 9780978946302
T3 - Synthetic Landscapes - ACADIA 2006 International Conference
SP - 418
EP - 425
BT - Synthetic Landscapes - ACADIA 2006 International Conference
T2 - Synthetic Landscapes - ACADIA 2006 International Conference
Y2 - 12 October 2006 through 15 October 2006
ER -