Algorithms for optimization of building design: A review

Vasileios Machairas, Aris Tsangrassoulis and Kleo Axarli

Renewable and Sustainable Energy Reviews, 2014, vol. 31, issue C, 101-112

Abstract: 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.

Keywords: Building; Design; Algorithms; Optimization; Review (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (61)

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DOI: 10.1016/j.rser.2013.11.036

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