Using metaheuristics-based methods to provide sustainable market solutions, suitable to consumer needs
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.21/11437 |
Resumo: | Nowadays 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. |
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Using metaheuristics-based methods to provide sustainable market solutions, suitable to consumer needsSustainabilityEnergy efficiencyHousehold appliancesMulti-criteriaMulti-objective optimizationEvolutionary algorithmsSimplexNowadays 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.ASTES PublishersRCIPLSantos, RicardoAbreu, AntónioMonteiro, Joaquim2020-04-08T16:19:28Z2020-04-042020-04-04T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/11437engSANTOS, 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. 299-4102415-6698https://dx.doi.org/10.25046/aj050252info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T10:02:41Zoai:repositorio.ipl.pt:10400.21/11437Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:19:41.432720Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Using metaheuristics-based methods to provide sustainable market solutions, suitable to consumer needs |
title |
Using metaheuristics-based methods to provide sustainable market solutions, suitable to consumer needs |
spellingShingle |
Using metaheuristics-based methods to provide sustainable market solutions, suitable to consumer needs Santos, Ricardo Sustainability Energy efficiency Household appliances Multi-criteria Multi-objective optimization Evolutionary algorithms Simplex |
title_short |
Using metaheuristics-based methods to provide sustainable market solutions, suitable to consumer needs |
title_full |
Using metaheuristics-based methods to provide sustainable market solutions, suitable to consumer needs |
title_fullStr |
Using metaheuristics-based methods to provide sustainable market solutions, suitable to consumer needs |
title_full_unstemmed |
Using metaheuristics-based methods to provide sustainable market solutions, suitable to consumer needs |
title_sort |
Using metaheuristics-based methods to provide sustainable market solutions, suitable to consumer needs |
author |
Santos, Ricardo |
author_facet |
Santos, Ricardo Abreu, António Monteiro, Joaquim |
author_role |
author |
author2 |
Abreu, António Monteiro, Joaquim |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Santos, Ricardo Abreu, António Monteiro, Joaquim |
dc.subject.por.fl_str_mv |
Sustainability Energy efficiency Household appliances Multi-criteria Multi-objective optimization Evolutionary algorithms Simplex |
topic |
Sustainability Energy efficiency Household appliances Multi-criteria Multi-objective optimization Evolutionary algorithms Simplex |
description |
Nowadays 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. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-04-08T16:19:28Z 2020-04-04 2020-04-04T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.21/11437 |
url |
http://hdl.handle.net/10400.21/11437 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
SANTOS, 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. 299-410 2415-6698 https://dx.doi.org/10.25046/aj050252 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
ASTES Publishers |
publisher.none.fl_str_mv |
ASTES Publishers |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799133464065212416 |