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Using evolutionary algorithms to achieve sustainable solutions through household appliances

2019-12Journal article Open access
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dc.contributor.authorSantos, Ricardo
dc.contributor.authorMatias, J. C. O.
dc.contributor.authorAbreu, António
dc.date.accessioned2019-09-09T09:06:51Z
dc.date.available2019-09-09T09:06:51Z
dc.date.issued2019-12
dc.description.abstractIn order to reach a sustainable planet, there is a permanent need by the consumer (decision- agent), to achieve sustainable solutions, with its decisions. Given the importance of the buildings, as a sector to achieve such solutions, as well as the diversity of household appliances existent on the market, with all its different issues, there are several tradeoffs to consider (e.g. energy and water consumption vs initial investment), which difficult the consumer’s choices from the market. The problem increases, since nowadays, the consumer tries to get a solution from the market, with a good compromise between the Economic, Social and Environmental dimensions, and according to its specific needs, which can be different from other consumers. By considering a multicriteria approach, combined with an optimization technique, based on Evolutionary Algorithms (EA), it’s provided a set of sustainable solutions from the market to the consumer that respects the compromise referred before. In this work, it is presented an approach to support a decision-agent (DA) (consumer), by performing a set of sustainable choices based on household appliances from the market and suitable to its needs. Based on the obtained solutions, several savings are achieved (electrical and water consumption, CO2 emissions), by considering the consumer’s relative importance, regarding its Economics, Environmental and Social concerns.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSANTOS, Ricardo; MATIAS, J. C. O.; ABREU, António – Using evolutionary algorithms to achieve sustainable solutions through household appliances. Journal of Modeling and Optimization. ISSN 1759-7676. Vol. 11, N.º 2 (2019), pp. 69-76pt_PT
dc.identifier.doihttps://doi.org/10.32732/jmo.2019.11.2.69pt_PT
dc.identifier.issn1759-7676
dc.identifier.urihttp://hdl.handle.net/10400.21/10481
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.publisherversionhttp://www.xpublication.com/index.php/jmo/article/view/266/188pt_PT
dc.subjectSustainable developmentpt_PT
dc.subjectEnergy efficiencypt_PT
dc.subjectElectrical appliancespt_PT
dc.subjectLife Cycle Cost Analysis (LCCA)pt_PT
dc.subjectMulti-Attribute Value Theory (MAVT)pt_PT
dc.subjectMulti objective optimizationpt_PT
dc.subjectNSGAIIpt_PT
dc.titleUsing evolutionary algorithms to achieve sustainable solutions through household appliancespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage76pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage69pt_PT
oaire.citation.titleJournal of Modeling and Optimizationpt_PT
oaire.citation.volume11pt_PT
person.familyNameSantos
person.familyNameAbreu
person.givenNameRicardo
person.givenNameAntónio
person.identifier1829666
person.identifier.ciencia-idC213-A238-5F53
person.identifier.ciencia-idF51F-F42E-3D57
person.identifier.orcid0000-0001-5703-8139
person.identifier.orcid0000-0001-8839-5606
person.identifier.ridM-9354-2018
person.identifier.ridD-3964-2014
person.identifier.scopus-author-id57218315486
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication9312aee8-32f1-4907-966d-be2dc485f975
relation.isAuthorOfPublication2e303e99-df37-4381-bf3c-0ab7fc69703c
relation.isAuthorOfPublication.latestForDiscovery9312aee8-32f1-4907-966d-be2dc485f975

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