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glcCluster
Solves general constrained mixed-integer global optimization problems.
Main features:
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glcCluster implements a hybrid algorithm:
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It makes a global search using glcFast.
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The output of glcFast is analyzed using a clustering algorithm,
that generates a set of initial points.
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A local search is made starting from each of the points in the set.
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Then glcFast is trying to improve the best point found.
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If a new best point is found, another local search is made, otherwise
the algorithm stops.
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The algorithm has been able to solve problems of higher dimensions
than by just using glcFast or glbFast in a reasonable time frame.
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