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Optimization

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Optimization in operational research, is synonym of mathematical programming.
In addition to its sharply increased improvement in computing, it makes possible to solve also complex problems with thousands of variables .
In some studies, up to 12 million variables can be solved.

Advances computational makes it used in discrete event systems that have been used in assessing performance.
These cases can be estimated by using simulation .
In general, optimization is for improving a thought, process and applied design.
Optimization is always looking for the best position.
Finding the best answer for the analysis depends on the solution and permissible error. So modeling and formulators have direct impact on it.
Optimizing programmings:

  • trial and error optimization
  • dynamic optimization
  • static optimization
  • discrete optimization
  • permutation problems
  • NP programming
               
 
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