The performance of an algorithm used depends on the GNA. This book
focuses on the comparison of optimizers, it defines a
stress-outcome approach which can be derived all the classic
criteria (median, average, etc.) and other more sophisticated.
Source-codes used for the examples are also presented, this allows
a reflection on the "superfluous chance," succinctly explaining why
and how the stochastic aspect of optimization could be avoided in
some cases.
General
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