A matheuristic approach with nonlinear subproblems for large-scale packing of ellipsoids (2019)
- Authors:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- DOI: 10.1016/j.ejor.2018.07.006
- Subjects: PROGRAMAÇÃO NÃO LINEAR; ALGORITMOS PARA PROCESSAMENTO
- Keywords: packing; ellipsoids; matheuristic
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: European Journal of Operational Research
- ISSN: 0377-2217
- Volume/Número/Paginação/Ano: v. 272, n. 2, p. 447-464, 2019
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BIRGIN, Ernesto Julian Goldberg e LOBATO, Rafael Durbano. A matheuristic approach with nonlinear subproblems for large-scale packing of ellipsoids. European Journal of Operational Research, v. 272, n. 2, p. 447-464, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ejor.2018.07.006. Acesso em: 04 jun. 2024. -
APA
Birgin, E. J. G., & Lobato, R. D. (2019). A matheuristic approach with nonlinear subproblems for large-scale packing of ellipsoids. European Journal of Operational Research, 272( 2), 447-464. doi:10.1016/j.ejor.2018.07.006 -
NLM
Birgin EJG, Lobato RD. A matheuristic approach with nonlinear subproblems for large-scale packing of ellipsoids [Internet]. European Journal of Operational Research. 2019 ; 272( 2): 447-464.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1016/j.ejor.2018.07.006 -
Vancouver
Birgin EJG, Lobato RD. A matheuristic approach with nonlinear subproblems for large-scale packing of ellipsoids [Internet]. European Journal of Operational Research. 2019 ; 272( 2): 447-464.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1016/j.ejor.2018.07.006 - Special issue on nonlinear programming dedicated to the ALIO-INFORMS Joint International Meeting 2010. [Prefácio]
- Low order-value approach for solving VaR-constrained optimization problems
- Large-scale active-set box-constrained optimization method with spectral projected gradients
- A box-constrained optimization algorithm with negative curvature directions and spectral projected gradients
- Spectral projected gradient methods: review and perspectives
- Augmented Lagrangians with possible infeasibility and finite termination for global nonlinear programming
- Foreword special issue dedicated to selected surveys in nonlinear programming. [Apresentação]
- Assessing the reliability of general-purpose Inexact Restoration methods
- Packing circles within ellipses
- Sparse Projected-Gradient Method As a Linear-Scaling Low-Memory Alternative to Diagonalization in Self-Consistent Field Electronic Structure Calculations
Informações sobre o DOI: 10.1016/j.ejor.2018.07.006 (Fonte: oaDOI API)
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