SYS 303 Optimization in Systems Engineering
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This SYS 303 Optimization in Systems Engineering course emphasizes that the optimization of some subsystems could also be harmful to others and therefore to overall system performance or value. Topics embody ancient optimization strategies, like classical parameter optimization applied math, dynamic programming, numerical strategies (for example, perturbation and gradient techniques), and genetic algorithms. Additionally, techniques like Pareto or multi-objective optimization are examined to achieve a sufficient balance among system performance and value, ultimately to get the overall best system.
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