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Titlebook: Global Optimization; From Theory to Imple Leo Liberti,Nelson Maculan Book 2006 Springer-Verlag US 2006 Monte Carlo method.Transformation.al

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樓主: Encomium
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發(fā)表于 2025-3-28 17:02:13 | 只看該作者
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發(fā)表于 2025-3-28 20:22:41 | 只看該作者
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發(fā)表于 2025-3-29 00:23:05 | 只看該作者
Optimization under Composite Monotonic Constraints and Constrained Optimization over the Efficient Sakly efficient points. The approach is based on transforming the problem into a monotonic optimization problem in the space ?., which can then be efficiently solved by recently developed techniques. Nontrivial numerical examples are presented to illustrate the practicability of the approach.
44#
發(fā)表于 2025-3-29 03:49:02 | 只看該作者
Book 2006 theoretical soundness of the algorithms that are implemented. The literature rarely discusses the tuning of algorithmic parameters, implementation tricks, software architectures, and the embedding of local solvers within global solvers. And yet, there are many good software implementations "out the
45#
發(fā)表于 2025-3-29 07:39:10 | 只看該作者
https://doi.org/10.1007/978-1-4842-8888-7in the obtained solution and possibly a reduction in the computational time can be achieved by the increase of the total sample size . should also be increased as the dimensionality of problems grows. For high dimensional problems clustering methods become inefficient. For such problems a multistart method can be more computationally expedient.
46#
發(fā)表于 2025-3-29 14:54:41 | 只看該作者
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發(fā)表于 2025-3-29 19:03:33 | 只看該作者
https://doi.org/10.1007/978-1-4842-7978-6iate class with the closest functionality, and extending it to add the core of the algorithm. The purpose of this hierarchy is thus to provide an extensible model for a quick implementation of metaheuristics and the problem structures associated with them.
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發(fā)表于 2025-3-29 23:31:26 | 只看該作者
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發(fā)表于 2025-3-30 03:56:27 | 只看該作者
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