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Simulation
To understand the characteristic of a system, computers help a lot these days. Once the real system is mathematically modeled, computer
== Simulation-Based Optimization Methods ==
The simulation-based optimization methods can be categorized into the following groups:<ref>Deng, G. (2007). ''Simulation-based optimization'' (Doctoral dissertation, UNIVERSITY OF WISCONSIN–MADISON).</ref>
* Response surface methodology (constructing surrogate model, to approximate the underlying function <math display="inline">f</math>)
* Heuristic methods (three most popular methods: [[Genetic algorithm|genetic algorithms]], [[tabu search]], and [[simulated annealing]])
* [[Stochastic approximation]] (category of [[Gradient descent|gradient-based]] approaches.)
* Derivative-free optimization methods
* [[Dynamic programming]] and neuro-dynamic programming
{{Uncategorized|date=March 2016}}
<nowiki>[[Category:Mathematical Optimization]]</nowiki>
<nowiki>[[Category:Computer-based Simulation]]</nowiki>
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