|
|
 |
|
|
|
| |
| |
|
Our main research areas and
interests lie in Nonlinear Optimization, Mathematical Problem Design, Heuristics
and Statistics. The state-of-the-art research is interdisciplinary, involving
close links with mathematics, engineering and other scientific disciplines. The
NSOS group conducts fundamental and applied research on optimization, including
algorithmic development, model formulation, and software production, as well as
on statistics applied to various areas, in particular to medicine.
At present, the group has 12
PhD permanent members, and several MSc and PhD students.
We were very pleased to lead
the organization of the international conference
ORP3-2007. The NSOS group, together with the SEOOR (Systems Engineering, Optimization and
Operations Research) research group, is committed with the organization of
the next international Optimization
conference (Optimization 2014). We are
also committed with the organization of the ICCOPT 2013 conference.
|
|
 |
Photo with some of the permanent PhD members.
.
Some NSOS selected
publications:
Braga, AC; Costa,
L; Oliveira, P;
An alternative method for global and
partial comparison of two diagnostic systems based on ROC curves,
Journal of Statistical Computation and
Simulation, pp. 1-19, 2011,
http://dx.doi.org/10.1080/00949655.2011.604635.
Costa, L; Espírito Santo, IACP;
Oliveira, P; An adaptive constraint
handling technique for evolutionary algorithms,
Optimization, pp. 1-13, 2011,
http://dx.doi.org/10.1080/02331934.2011.590486
Custódio, AL; Madeira, JFA;
Vaz, AIF; Vicente, LN; Direct Multisearch for Multiobjective Optimization, SIAM
Journal on Optimization, vol. 21, pp. 1109-1140, 2011,
http://dx.doi.org/10.1137/10079731X.
Ferraz, A; Carvalho, V;
Soares, F; and Leão, CP;
Characterization of Blood Samples Using
Image Processing Techniques, Sensors
and Actuators A-Physical, vol.
172, pp. 308-314, 2011,
http://dx.doi.org/10.1016/j.sna.2011.02.022.
Monteiro, MTT; Rodrigues, HS;
Combining the regularization strategy and
the SQP to solve MPCC - a MATLAB implementation,
Journal of Computational and Applied
Mathematics, vol. 235, pp. 5348-5356, 2011.
Rocha, AMAC ; Martins, TFMC; Fernandes,
EMGP; An augmented Lagrangian fish
swarm based method for global optimization,
Journal of Computational and Applied
Mathematics, vol. 235, pp. 4611-4620, 2011.
|
|
| |
|
