Please use this identifier to cite or link to this item:
http://hdl.handle.net/11667/160
Appears in Collections: | University of Stirling Research Data |
Title: | Updated CHM data and experimental results for "A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements" |
Creator(s): | Brownlee, Alexander E I Wright, Jonathan He, Miaomiao Lee, Timothy McMenemy, Paul |
Contact Email: | sbr@cs.stir.ac.uk |
Keywords: | Evolutionary algorithms Optimisation Multi-objective Large-scale Energy Civil engineering |
Date Available: | 17-Aug-2020 |
Citation: | Brownlee, AEI; Wright, J; He, MM; Lee, T; McMenemy, P (2020): Updated CHM data and experimental results for "A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements". University of Stirling. Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/160 |
Publisher: | University of Stirling. Faculty of Natural Sciences |
Dataset Description (Abstract): | This includes an amended version of the Cambridge Housing Model (https://www.gov.uk/government/statistics/cambridge-housing-model-and-user-guide - available under the Open Government Licence v3.0) with added costs and energy reductions for several improvements to houses. Also included are results from optimisation runs described in the paper "Sequential Pareto Optimisation of a Large-scale Multi-objective Housing Stock Problem" |
Dataset Description (TOC): | Description contained in README.txt |
Type: | dataset |
Contract/Grant Title: | Self Conserving Urban Environments – SECURE |
Funder(s): | EPSRC - Engineering and Physical Sciences Research Council |
Contract/Grant Number: | EP/I002154/1 |
Geographic Location(s): | UK |
URI: | http://hdl.handle.net/11667/160 |
Rights: | Rights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/ |
Affiliation(s) of Dataset Creator(s): | University of Stirling (Computing Science - CSM Dept) Loughborough University |
Files in This Item:
File | Description | Size | Format | |
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ForDataRepository.zip | 1.04 GB | ZIP | View/Open |
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