Operations Research Project
Objectives
Mastering of the basic techniques and methodologies related to the scientific sub-domain corresponding to the project. Development of creativity and critical sense, conducting to the formalization of a topic to be explored. Project development and conclusion.
General characterization
Code
10812
Credits
6.0
Responsible teacher
Ana Luísa da Graça Batista Custódio
Hours
Weekly - 2
Total - 28
Teaching language
Português
Prerequisites
Bibliography
C. Audet and W. Hare, Derivative-Free and Blackbox Optimization, Springer, 2017
J. Nocedal and S. J. Wright, Numerical Optimization (2nd ed.), Springer Series in Operations Research and Financial Engineering, 2006
A. L. Custódio, J. F. A. Madeira, A. I. F. Vaz, and L. N. Vicente, Direct multisearch for multiobjective optimization, SIAM J. Optim., 21 (2011), pp. 1109–1140
Numerical benchmark of algorithms:
E. D. Dolan and J. J. Moré, Benchmarking optimization software with performance profiles, Math. Program., 91 (2002), pp. 201–213
N. Gould and J. Scott, A note on performance profiles for benchmarking software, ACM Transactions on Mathmatical Software, 43 (2016), pp. 1–5
J.J. Moré and S.M. Wild, Benchmarking derivative-free optimization algorithms, SIAM J. Optim., 20 (2009), pp. 172–191
Teaching method
At the beginning of the semester each student will be allocated to a project topic. The student will have three weeks to be familiar with the subject and to prepare a short presentation about it, with the proposal of some points to be further explored. A brainstorming session will be conducted about these proposals, enrolling all students in the curricular unit and the professor.
After the approval of the theme to be explored, the student will be allowed to develop it during seven weeks, presenting oral progress reports in a weekly basis. Project supervision will be conducted in these weekly sessions.
Evaluation method
Subject matter
The final program will depend on the features of the project to be developed. However, there will be a common denominator related to scientific writing and oral presentations, as well as tools for numerical analysis of data (performance profiles and data profiles).