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Lecture
Optimization and Simulation: Heuristics and Neighborhoods
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Related lectures (32)
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Optimization Methods: Theory Discussion
Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.
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Explores optimization, simulation, data analysis, and the importance of considering more than just the mean in engineering systems.
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Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
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Covers the formulation of constraint satisfaction problems and systematic algorithms for solving them efficiently.
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Explores simulation pitfalls, random numbers, discrete & continuous distributions, and Monte-Carlo integration.
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Introduces state-of-the-art methods in optimization and simulation, covering topics like statistical analysis, variance reduction, and simulation projects.
Optimization and Simulation
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Explores optimization and simulation techniques, emphasizing heuristics intensification for efficient solution finding.
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Explores optimization techniques like local search, VNS, and simulated annealing.
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