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José Eduardo Souza de Cursi
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2020 – today
- 2023
- [j10]Abdelkrim El Mouatasim, José Eduardo Souza de Cursi, Rachid Ellaia:
Stochastic perturbation of subgradient algorithm for nonconvex deep neural networks. Comput. Appl. Math. 42(4) (2023) - 2022
- [c10]Khadija Ait Mamoun, Lamia Hammadi, Antonio G. N. Novaes, Abdessamad El Ballouti, Eduardo Souza de Cursi:
An optimisation solution of Capacitated Vehicle Routing Problem (CVRP). ISIVC 2022: 1-5 - [c9]Hajar Raillani, Lamia Hammadi, Márcia Marcondes Altimari Samed, Abdessamad El Ballouti, Vlad Stephan Barbu, Eduardo Souza de Cursi:
Disaster Assessment in Humanitarian Relief Supply Chain: Application to the Moroccan context. ISIVC 2022: 1-6 - 2020
- [j9]Liu Chu, Jiajia Shi, Eduardo Souza de Cursi, Shujun Ben:
Efficiency improvement of Kriging surrogate model by subset simulation in implicit expression problems. Comput. Appl. Math. 39(2) (2020)
2010 – 2019
- 2019
- [c8]Hafid Zidani, Rachid Ellaia, Eduardo Souza de Cursi:
A Hybrid Simplex Search for Global Optimization with Representation Formula and Genetic Algorithm. WCGO 2019: 3-15 - [c7]Fábio Nascentes, Rafael Holdorf Lopez, Rubens Sampaio, Eduardo Souza de Cursi:
Stochastic Tunneling for Improving the Efficiency of Stochastic Efficient Global Optimization. WCGO 2019: 238-246 - [c6]Mohamed Bassi, Emmanuel Pagnacco, Eduardo Souza de Cursi, Rachid Ellaia:
Statistics of Pareto Fronts. WCGO 2019: 547-556 - [c5]Eduardo Souza de Cursi, Rafael Holdorf Lopez:
Uncertainty Quantification in Optimization. WCGO 2019: 557-566 - [c4]Renata Troian, Didier Lemosse, Leila Khalij, Christophe Gautrelet, Eduardo Souza de Cursi:
Uncertainty Quantification in Serviceability of Impacted Steel Pipe. WCGO 2019: 567-576 - [c3]Hongbo Zhang, Younes Aoues, Hao Bai, Didier Lemosse, Eduardo Souza de Cursi:
Kriging-Based Reliability-Based Design Optimization Using Single Loop Approach. WCGO 2019: 991-1000 - 2018
- [j8]Lamia Hammadi, Abdellah Ait Ouahman, Eduardo Souza de Cursi, Aomar Ibourk:
An approach based on FMECA methodology for a decision support tool for managing risk in customs supply chain: a case study. Int. J. Manuf. Technol. Manag. 32(2): 102-123 (2018) - 2016
- [j7]Hafid Zidani, José Eduardo Souza de Cursi, Rachid Ellaia:
Numerical approximation of the solution in infinite dimensional global optimization using a representation formula. J. Glob. Optim. 65(2): 261-281 (2016) - 2014
- [j6]Abdelkrim El Mouatasim, Rachid Ellaia, José Eduardo Souza de Cursi:
Stochastic perturbation of reduced gradient & GRG methods for nonconvex programming problems. Appl. Math. Comput. 226: 198-211 (2014) - 2011
- [j5]Abdelkrim El Mouatasim, Rachid Ellaia, José Eduardo Souza de Cursi:
Random perturbation of the projected variable metric method for nonsmooth nonconvex optimization problems with linear constraints. Int. J. Appl. Math. Comput. Sci. 21(2): 317-329 (2011) - 2010
- [c2]Dimitri Lefebvre, Edouard Leclercq, Nabil El Akchioui, José Eduardo Souza de Cursi, Leila Khalij:
A geometric approach for the homothetic approximation of stochastic Petri nets. WODES 2010: 235-240
2000 – 2009
- 2009
- [j4]Antonio Galvão Naclério Novaes, José Eduardo Souza de Cursi, Arinei C. L. da Silva, João C. Souza:
Solving continuous location-districting problems with Voronoi diagrams. Comput. Oper. Res. 36(1): 40-59 (2009) - [c1]Dimitri Lefebvre, Edouard Leclercq, Leila Khalij, José Eduardo Souza de Cursi, Nabil El Akchioui:
Approximation of MTS stochastic Petri nets steady state by means of continuous Petri nets: a numerical approach. ADHS 2009: 62-67 - 2006
- [j3]Lauro Cesar Galvão, Antonio Galvão Naclério Novaes, José Eduardo Souza de Cursi, João C. Souza:
A multiplicatively-weighted Voronoi diagram approach to logistics districting. Comput. Oper. Res. 33: 93-114 (2006) - 2000
- [j2]Antonio Galvão Naclério Novaes, José Eduardo Souza de Cursi, Odacir Deonísio Graciolli:
A continuous approach to the design of physical distribution systems. Comput. Oper. Res. 27(9): 877-893 (2000)
1990 – 1999
- 1994
- [j1]Marc Pogu, José Eduardo Souza de Cursi:
Global optimization by random perturbation of the gradient method with a fixed parameter. J. Glob. Optim. 5(2): 159-180 (1994)
Coauthor Index
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