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Titlebook: Learning and Intelligent Optimization; 8th International Co Panos M. Pardalos,Mauricio G.C. Resende,Jose L. Wa Conference proceedings 2014

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21#
發(fā)表于 2025-3-25 06:54:25 | 只看該作者
22#
發(fā)表于 2025-3-25 09:47:06 | 只看該作者
Controlling Selection Area of Useful Infeasible Solutions in Directed Mating for Evolutionary Constt be performed. Consequently, the effectiveness of the directed mating cannot be obtained. To overcome these problems and further improve the effectiveness of the directed mating in TNSDM, in this work we propose a method to control selection areas of infeasible solutions by controlling dominance ar
23#
發(fā)表于 2025-3-25 12:13:10 | 只看該作者
24#
發(fā)表于 2025-3-25 16:32:51 | 只看該作者
Algorithm Portfolios for Noisy Optimization: Compare Solvers Early, its’ algorithms) by an ad hoc selection algorithm dedicated to noisy optimization. A somehow surprising result is that it is better to compare solvers with some lag; i.e., recommend the . recommendation of the best solver, selected from a comparison based on their recommendations . in the run.
25#
發(fā)表于 2025-3-25 22:00:27 | 只看該作者
26#
發(fā)表于 2025-3-26 02:09:55 | 只看該作者
27#
發(fā)表于 2025-3-26 06:22:45 | 只看該作者
28#
發(fā)表于 2025-3-26 11:04:37 | 只看該作者
An Empirical Study of Off-Line Configuration and On-Line Adaptation in Operator Selection, value by a non-adaptive distribution tuned off-line, and incorporate the off-line with on-line approaches. In particular, using an off-line tuned distribution to vary parameter values at runtime appears to be a promising idea for automatic configuration.
29#
發(fā)表于 2025-3-26 14:58:41 | 只看該作者
On Multidimensional Scaling with City-Block Distances,ic programming problems are tackled at the lower level. In this paper we discuss a new reformulation of the problem where lower level quadratic programming problems seem more suited for two-level optimization.
30#
發(fā)表于 2025-3-26 18:19:31 | 只看該作者
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