Optimization and Simulation: Heuristics Intensification

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Explores solving Connect Four using game theory algorithms and compares Alpha-Beta pruning with Monte-Carlo tree search.

Explores optimization, simulation, heuristics, and Pareto solutions in multi-objective problems.

Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.

Explores simulated annealing for optimization, emphasizing parameter tuning and diversification to escape local minima.

Covers the formulation of constraint satisfaction problems and systematic algorithms for solving them efficiently.

By Prof. François Marechal covers the simulation and optimization of energy systems in industrial processes, waste, resources, and energy conversion.

Introduces discrete event simulation through the example of Rico at Satellite, emphasizing the importance of statistical analysis.

Explores optimization and simulation techniques for variance reduction in draws.

Covers scientific computing, process automation, and data management in computer science applications across different sectors.

Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.