This line of research studies the development and implementation of cutting-edge optimization techniques to solve real problems of great complexity. Our approach is quantitative, using the latest technologies in the field of optimization. The main areas of interest are:

• Optimization of production planning.
• Other practical combinatorial optimization problems.
• Realistic scheduling.
• Techniques for automatic forecasting.
• Multi-objective scheduling.
• Cooperative scheduling techniques and parallel.
• Advanced metaheuristics techniques.
• Empirical analysis of algorithms.

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