Competences
- Analysis (POs a)
- Abstraction (POs a)
- Problem solving (POs a, b, e)
- Application of methods to real-world problems (POs a, b, d, e, g, h)
- Introduction to the main mathematical concepts for the analysis, representation and resolution of optimization problems. (POs a, b, h, j)
- Introduction to heuristic techniques and approximate solutions for solving problems of high complexity (POs e, h, j)
- Ability to identify and apply the best suited optimization procedure to a particular problem. (POs a, e, g, h)
- Ability to use specific computer software to solve optimization problems (POs b, e, h)
- Ability to foster new ideas (creativity). (POs d, e, g)
- Ability to dimensionate new problems (POs b, d)
- To boost the interest for researching and finding solutions to new and challenging problems. (POs e, g, j, k)
Study Program
- Optimization in Rn. Formulation
- The Barrier method
- Constrained and unconstrained optima
- Linear programming, dynamic programming and unconstrained programming
- Optimization in the context of graph theory
- Heuristic functions
- Constrained programming
- Local Search
- Neighborhood search
- Simulated annealing
- Bio-inspired and multi-objective optimization
Group
Bachelor's Degree: Computer Science and Engineering (Plan 2011)
Field: Engineering. (Colmenarejo)
Field: Engineering. (Leganés)
Bibliography
- Novo Sanjurjo, Vicent J. Teoría de la Optimización. Universidad Nacional de Educación a Distancia. 1999
- Novo Sanjurjo, Vicente J.Optimización: casos prácticos. Universidad Nacional de Educación a Distancia. 2000