Algorithms for optimization of building design: A review

Building design is quite a complicated task with the design team trying to counterbalance various antagonistic parameters, which in turn are subject to various constraints. Due to this complexity, performance simulation tools are employed and as a consequence, optimization methods have just started...

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Bibliographic Details
Published inRenewable & sustainable energy reviews Vol. 31; pp. 101 - 112
Main Authors Machairas, Vasileios, Tsangrassoulis, Aris, Axarli, Kleo
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier Ltd 01.03.2014
Elsevier
Subjects
Algorithms
Applied sciences
Building
Buildings. Public works
Design
Exact sciences and technology
Optimization
Project management. Process of design
Review
Building
Design
Algorithms
Review
Optimization
Buildings
Algorithm
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ISSN1364-0321
1879-0690
DOI10.1016/j.rser.2013.11.036

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Summary:Building design is quite a complicated task with the design team trying to counterbalance various antagonistic parameters, which in turn are subject to various constraints. Due to this complexity, performance simulation tools are employed and as a consequence, optimization methods have just started being used, mainly as a decision aid. There are examples, amongst the architectural community, where probabilistic evolutionary algorithms or other derivative-free methods have been used with various decision variables and objective goals. This paper is a review of the methods and tools used for the building design optimization in an effort to explore the reasoning behind their selection, to present their abilities and performance issues and to identify the key characteristics of their future versions.
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ISSN:1364-0321
1879-0690
DOI:10.1016/j.rser.2013.11.036