Applying social choice theory to solve engineering multi-objective optimization problems (2020)
- Authors:
- USP affiliated authors: SICHMAN, JAIME SIMÃO - EP ; BRANDÃO, ANAROSA ALVES FRANCO - EP ; CARVALHO, VINICIUS RENAN DE - EP
- Unidade: EP
- DOI: 10.1007/s40313-019-00526-2
- Subjects: ALGORITMOS; ENGENHARIA DE COMPUTAÇÃO
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2020
- Source:
- Título: Journal of Control, Automation and Electrical Systems
- Volume/Número/Paginação/Ano: v. 31, p. 119–128, 2020
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
CARVALHO, Vinicius Renan de et al. Applying social choice theory to solve engineering multi-objective optimization problems. Journal of Control, Automation and Electrical Systems, v. 31, p. 119–128, 2020Tradução . . Disponível em: https://doi.org/10.1007/s40313-019-00526-2. Acesso em: 26 dez. 2025. -
APA
Carvalho, V. R. de, Larson, K., Brandão, A. A. F., & Sichman, J. S. (2020). Applying social choice theory to solve engineering multi-objective optimization problems. Journal of Control, Automation and Electrical Systems, 31, 119–128. doi:10.1007/s40313-019-00526-2 -
NLM
Carvalho VR de, Larson K, Brandão AAF, Sichman JS. Applying social choice theory to solve engineering multi-objective optimization problems [Internet]. Journal of Control, Automation and Electrical Systems. 2020 ; 31 119–128.[citado 2025 dez. 26 ] Available from: https://doi.org/10.1007/s40313-019-00526-2 -
Vancouver
Carvalho VR de, Larson K, Brandão AAF, Sichman JS. Applying social choice theory to solve engineering multi-objective optimization problems [Internet]. Journal of Control, Automation and Electrical Systems. 2020 ; 31 119–128.[citado 2025 dez. 26 ] Available from: https://doi.org/10.1007/s40313-019-00526-2 - HEACT: Hybrid Evolutionary Algorithm for the multi-region multi-objective cloud task scheduling problem: a study of workflow scheduling in AWS EC2
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Informações sobre o DOI: 10.1007/s40313-019-00526-2 (Fonte: oaDOI API)
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