Most books about global optimization describe the theory of
thealgorithms, whereas a given implementation's quality never
dependsexclusively on the theoretical soundness of the algorithms
that areimplemented. The literature rarely discusses the tuning of
algorithmicparameters, implementation tricks, software
architectures, and theembedding of local solvers within global
solvers. And yet, there aremany good software implementations out
there from which the entirecommunity could learn something. The
scope of this book is moving afew steps toward the systematization
of the path that goes from theinvention to the implementation and
testing of a global optimizationalgorithm.
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