Evolutionary optimisation to minimise material waste in construction

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aut.relation.endpage192
aut.relation.issue4en_NZ
aut.relation.journalInternational Journal of Computational Systems Engineeringen_NZ
aut.relation.startpage183
aut.relation.volume3en_NZ
aut.researcherConnor, Andrew
dc.contributor.authorConnor, AMen_NZ
dc.contributor.authorSiringoringo, Wen_NZ
dc.date.accessioned2018-06-25T02:52:31Z
dc.date.available2018-06-25T02:52:31Z
dc.date.copyright2017en_NZ
dc.date.issued2017en_NZ
dc.description.abstractThis paper describes the development and evaluation of a range of metaheuristic search algorithms applied to the optimal design of two-dimensional layout problems, with the particular application on residential building construction. Results are presented to allow the performance of the different algorithms to be compared in the pareto-optimal solution space, with resulting solutions identified and analysed in the objective space. These results show that all of the algorithms investigated have the potential to be applied to optimise material layout and improve the design processes used during building construction.
dc.identifier.citationInternational Journal of Computational Systems Engineering, Vol. 3, No. 4
dc.identifier.doi10.1504/IJCSYSE.2017.10010096en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/11609
dc.publisherInderscience
dc.relation.urihttps://www.inderscienceonline.com/doi/abs/10.1504/IJCSYSE.2017.089188en_NZ
dc.rightsCopyright © Inderscience Enterprises Ltd., 2017. Authors retain the right to place his/her pre-publication version of the work on a personal website or institutional repository for non commercial purposes. The definitive version was published in (see Citation). The original publication is available at (see Publisher's Version).
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectMetaheuristic algorithms; Evolutionary computation; Layout optimisation; Residential construction
dc.titleEvolutionary optimisation to minimise material waste in constructionen_NZ
dc.typeJournal Article
pubs.elements-id282096
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pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies/PBRF CoLab
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