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ACADIA Archive » ACADIA 14: Design Agency (2014) » Improving Genetic Algorithm for Design Optimization Using Architectural Domain Knowledge (2014)

Improving Genetic Algorithm for Design Optimization Using Architectural Domain Knowledge (2014)

article⁄Improving Genetic Algorithm for Design Optimization Using Architectural Domain Knowledge (2014)
contributors⁄
Su, Zhouzhou
Yan, Wei
in issues⁄
ACADIA 14: Design Agency (2014)
abstract⁄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, 2014
Year 2014
Authors Su, Zhouzhou; Yan, Wei.
Issue ACADIA 14: Design Agency
Pages 655-660
Library link N/A
Entry filename improving-genetic-algorithm-design-optimization-using