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Showing 1 to 1 of 1 for “"No Free Lunch (NFL) theorems"”.

  1. A No Free Lunch Result for Optimization and Its Implications

    The No Free Lunch (NFL) theorems for optimization tell us that when averaged over all possible optimization problems the performance of any two optimization algorithms is statistically identical. This seems to imply that there are no "general-purpose" optimization algorithms. That is, the NFL

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