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  3. University of Stirling Research Data
Please use this identifier to cite or link to this item: http://hdl.handle.net/11667/160
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dc.contributorBrownlee, Alexander-
dc.contributor.otherEPSRC - Engineering and Physical Sciences Research Councilen_GB
dc.coverage.spatialUKen_GB
dc.creatorBrownlee, Alexander E I-
dc.creatorWright, Jonathan-
dc.creatorHe, Miaomiao-
dc.creatorLee, Timothy-
dc.creatorMcMenemy, Paul-
dc.date.accessioned2020-08-17T09:42:27Z-
dc.date.available2020-08-17T09:42:27Z-
dc.date.created2016-02-03-
dc.identifier.urihttp://hdl.handle.net/11667/160-
dc.description.abstractThis 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"en_GB
dc.description.tableofcontentsDescription contained in README.txten_GB
dc.language.isoengen_GB
dc.publisherUniversity of Stirling. Faculty of Natural Sciencesen_GB
dc.relationBrownlee, 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/11667/160en_GB
dc.relation.isreferencedbyBrownlee, A.E., Wright, J., He, M., Lee, T. and McMenemy, P. (2020) A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements. Applied Soft Computing, 96, Art. No.: 106650. DOI: https://doi.org/10.1016/j.asoc.2020.106650 Available from: http://hdl.handle.net/1893/31573en_GB
dc.rightsRights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/en_GB
dc.sourceIncludes amended version of the Cambridge Housing Model: original is here: (https://www.gov.uk/government/statistics/cambridge-housing-model-and-user-guide - available under the Open Government Licence v3.0)en_GB
dc.subjectEvolutionary algorithmsen_GB
dc.subjectOptimisationen_GB
dc.subjectMulti-objectiveen_GB
dc.subjectLarge-scaleen_GB
dc.subjectEnergyen_GB
dc.subjectCivil engineeringen_GB
dc.subject.classification::Civil engineering and built environment::Building Operation and Management::Retrofit of Buildingsen_GB
dc.subject.classification::Information and communication technologies::Artificial Intelligence Technologies::Evolutionary Computationen_GB
dc.titleUpdated 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"en_GB
dc.typedataseten_GB
dc.contributor.emailsbr@cs.stir.ac.uken_GB
dc.identifier.projectidEP/I002154/1en_GB
dc.title.projectSelf Conserving Urban Environments – SECUREen_GB
dc.contributor.affiliationUniversity of Stirling (Computing Science - CSM Dept)en_GB
dc.contributor.affiliationLoughborough Universityen_GB
dc.date.publicationyear2020en_GB
dc.description.notesReason for delay between data creation and deposit: We have given the creation date as the beginning of the experimentation. The following runs and analysis took longer than 12 months to complete. In addition, we did not upload a permanent record until paper acceptance to allow for modifications following reviewer feedback. The review process took over two years from first submission.en_GB
dc.description.accessAnimations included in this dataset are also available for easier viewing at http://www.cs.stir.ac.uk/~sbr/stockopt/en_GB
Appears in Collections:University of Stirling Research Data

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