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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/10274

Title: Variable convergence in evolutionary optimization and its relationship to sensitivity analysis
Authors: Wright, Jonathan A.
Wang, Mengchao
Brownlee, Alexander E.I.
Buswell, Richard A.
Issue Date: 2012
Publisher: Loughborough University © IBPSA-England
Citation: WRIGHT, J.A. ... et al., 2012. Variable convergence in evolutionary optimization and its relationship to sensitivity analysis. Building Simulation and Optimization 2012, Loughborough, UK, 10-11 September 2012, pp. 102 - 109.
Abstract: Optimization methods provide building designers with optimized design solutions, whereas sensitivity analysis methods indicate the extent to which the design variables have an impact on building performance, this information being important when uncertainty exists in the design decisions. This paper investigates the extent to which the solutions found from a building design optimization can be used for a sensitivity analysis. It is concluded that the solutions found at the start of the optimization process can be used in a global sensitivity analysis. It is also concluded that the convergence behaviour of the search does not relate to the global sensitivity.
Description: This paper was presented at the First Building Simulation and Optimization Conference, Loughborough, UK, 10-11 September 2012 [© IBPSA-England].
Version: Published
URI: https://dspace.lboro.ac.uk/2134/10274
ISBN: 9781897911426
Appears in Collections:Conference Papers and Presentations (Architecture, Building and Civil Engineering)

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