Brownlee, Alexander E.I., Wright, Jonathan A. and Mourshed, Monjur ORCID: https://orcid.org/0000-0001-8347-1366 2011. A multi-objective window optimisation problem. Presented at: 13th Annual Conference on Genetic and evolutionary computation, Dublin, Ireland, 12-16 July 2011. GECCO'11 companion: 13th Annual Genetic and evolutionary computation conference. New York, NY: ACM ( Association for Computing Machinery), pp. 89-90. 10.1145/2001858.2001910 |
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Abstract
We present an optimisation problem which seeks to locate the Pareto-optimal front of building window and shading designs minimising two objectives: projected energy use of the operational building and its construction cost. This problem is of particular interest because it has many variable interactions and each function evaluation is relatively timeconsuming. It also makes use of a freely-available building simulation program EnergyPlus which may be used in many other building design optimisation problems. We describe the problem and report the results of experiments comparing the performance of a number of existing multi-objective evolutionary algorithms applied to it. We conclude that this represents a promising real-world application area.
Item Type: | Conference or Workshop Item (Poster) |
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Date Type: | Publication |
Status: | Published |
Schools: | Engineering |
Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > TA Engineering (General). Civil engineering (General) |
Publisher: | ACM ( Association for Computing Machinery) |
ISBN: | 9781450306904 |
Last Modified: | 24 Oct 2022 12:06 |
URI: | https://orca.cardiff.ac.uk/id/eprint/50541 |
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