+44 (0)1509 263171
Please use this identifier to cite or link to this item:
|Title: ||Variable convergence in evolutionary optimization and its relationship to sensitivity analysis|
|Authors: ||Wright, Jonathan A.|
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].|
|Appears in Collections:||Conference Papers (Civil and Building Engineering)|
Files associated with this item:
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.