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

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id acadia14_655
authors Su, Zhouzhou; Yan, Wei
year 2014
title Improving Genetic Algorithm for Design Optimization Using Architectural Domain Knowledge
source ACADIA 14: Design Agency [Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9781926724478]Los Angeles 23-25 October, 2014), pp.655-660
summary The paper presents an improved genetic algorithm (GA) for architectural design optimization problems with offline simulation method utilizing specific domain knowledge in architecture. The method is evaluated by a case study of a nursing unit design, for which the objectives are to minimize nurses’ travel distance and maximize daylighting performance in patient rooms.
keywords design optimization, building simulation, genetic algorithm, offline simulation, computational complexity, walking distance
series ACADIA
type Normal Paper
full text file.pdf (1,384,358 bytes)
references Content-type: text/plain
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