期刊
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
卷 31, 期 5, 页码 -出版社
ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)CP.1943-5487.0000669
关键词
Building energy and daylighting optimization; Architectural layout optimization; Genetic algorithms; Design exploration; Pareto front
资金
- Middle East Technical University (METU) Bilimsel Arastirma Projesi-1 (Scientific Research Project) (BAP-1) Grant [BAP-08-11-2013-070]
Computational tools for early architectural design need to address issues related to building performance and integrally consider early design decisions regarding building form, spatial layout, orientation, and envelope articulation. This paper presents (1) a design optimization tool, Multiobjective Architectural Design Explorer (MADE) that supports performative-based building design, and (2) a design exploration strategy that effectively operationalizes MADE for Pareto-based comparative search. MADE implements genetic optimization in two steps. It first generates building layouts that satisfy formal, topological, and placement constraints with a singleobjective genetic algorithm. Then, MADE determines the opening sizes of the generated layout(s) by optimizing the buildings' energy and daylighting performance with a multiobjective genetic algorithm. MADE is tested on the design of a library building and the proposed Pareto-based exploration strategy is demonstrated in the selection of an optimal design. The results point out the feasibility of the presented tool and the design strategy, and that multiple objectives can be satisfied by sequentially optimizing design objectives. (C) 2017 American Society of Civil Engineers.
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