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Using metaheuristics-based methods to provide sustainable market solutions, suitable to consumer needs

2020-04-04Journal article Open access
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dc.contributor.authorSantos, Ricardo
dc.contributor.authorAbreu, António
dc.contributor.authorMonteiro, Joaquim
dc.date.accessioned2020-04-08T16:19:28Z
dc.date.available2020-04-08T16:19:28Z
dc.date.issued2020-04-04
dc.description.abstractNowadays the buildings sector is one of the key sectors to achieve sustainability, with the correspondent consumers, in particular, the household consumers, having the need to perform sustainable choices every day, regarding the appliances to be acquired from the market. This is not only due to government’s growing concerns about sustainability but also with the consumers on having sustainable solutions, given the different economic, social (including their comfort) and environmental needs. However, the existence of several electrical appliances on market, with all their different issues, brands and models, together with the several tradeoffs referred before, difficult the consumer’s choices, on having sustainable solutions in the market. Therefore, this work, presents an approach, by using Multi-Attribute Value Theory (MAVT), integrated with metaheuristics, which uses Evolutionary Algorithms (EA) to provide suitable and sustainable market solutions to a consumer, according to its own needs. Based on the achieved solutions and considering the relative importance, given to each consumer, and regarding each dimension of sustainability, it’s possible to achieve several savings, namely electrical and water consumption, CO2 emissions, among others. A case study shall be shown, to demonstrate the applicability of the proposed approach.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSANTOS, Ricardo Simões; ABREU, António João Pina da Costa Feliciano; MONTEIRO, Joaquim José Rodrigues – Using metaheuristics-based methods to provide sustainable market solutions, suitable to consumer needs. Advances in Science, Technology and Engineering Systems Journal. ISSN 2415-6698. Vol. 5, N.º 2 (2020), pp. 299-410pt_PT
dc.identifier.doihttps://dx.doi.org/10.25046/aj050252pt_PT
dc.identifier.issn2415-6698
dc.identifier.urihttp://hdl.handle.net/10400.21/11437
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherASTES Publisherspt_PT
dc.subjectSustainabilitypt_PT
dc.subjectEnergy efficiencypt_PT
dc.subjectHousehold appliancespt_PT
dc.subjectMulti-criteriapt_PT
dc.subjectMulti-objective optimizationpt_PT
dc.subjectEvolutionary algorithmspt_PT
dc.subjectSimplexpt_PT
dc.titleUsing metaheuristics-based methods to provide sustainable market solutions, suitable to consumer needspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage410pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage399pt_PT
oaire.citation.titleAdvances in Science, Technology and Engineering Systems Journalpt_PT
oaire.citation.volume5pt_PT
person.familyNameSantos
person.familyNameAbreu
person.familyNameMonteiro
person.givenNameRicardo
person.givenNameAntónio
person.givenNameJoaquim
person.identifier1829666
person.identifier1017446
person.identifier.ciencia-idC213-A238-5F53
person.identifier.ciencia-idF51F-F42E-3D57
person.identifier.ciencia-id4916-EA4B-17D4
person.identifier.orcid0000-0001-5703-8139
person.identifier.orcid0000-0001-8839-5606
person.identifier.orcid0000-0003-1930-9123
person.identifier.ridM-9354-2018
person.identifier.ridD-3964-2014
person.identifier.ridJ-8903-2013
person.identifier.scopus-author-id57218315486
person.identifier.scopus-author-id56582664700
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication9312aee8-32f1-4907-966d-be2dc485f975
relation.isAuthorOfPublication2e303e99-df37-4381-bf3c-0ab7fc69703c
relation.isAuthorOfPublicationaf7c0e5b-adc6-467f-b817-97fbf260f102
relation.isAuthorOfPublication.latestForDiscovery2e303e99-df37-4381-bf3c-0ab7fc69703c

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