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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/8915

Title: A multi-objective window optimisation problem
Authors: Brownlee, Alexander E.I.
Wright, Jonathan A.
Mourshed, Monjur
Keywords: Evolutionary algorithm
Multiobjective optimization
Building design
EnergyPlus simulation
Issue Date: 2011
Publisher: © The Authors
Citation: BROWNLEE., A.E.I., WRIGHT, J.A.and MOURSHED, M., 2011. A multi-objective window optimisation problem. IN: Genetic and Evolutionary Computation Conference (GECCO) 2011, Dublin, Ireland, 12-16th July, 2pp.
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.
Description: This is a conference paper.
Version: Published
URI: https://dspace.lboro.ac.uk/2134/8915
Publisher Link: http://www.sigevo.org/gecco-2011/index.html
Appears in Collections:Conference Papers and Presentations (Architecture, Building and Civil Engineering)

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