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Titlebook: Numerical Methods and Applications; 8th International Co Ivan Dimov,Stefka Fidanova,Ivan Lirkov Conference proceedings 2015 Springer Intern

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發(fā)表于 2025-3-25 06:05:40 | 只看該作者
22#
發(fā)表于 2025-3-25 09:58:42 | 只看該作者
Slot Machines RTP Optimization with Genetic Algorithmsution, it is possible to achieve the desired return to player percent (RTP). Some other parameters can also be adjusted (for?example, the free spins frequency or the bonus game frequency). In this paper RTP optimization automation, based on genetic algorithms, is proposed.
23#
發(fā)表于 2025-3-25 12:36:35 | 只看該作者
Hierarchical Topology in Parallel Differential Evolutionrformance of the algorithm is influenced by the use of parallel migration model. The hierarchical model has several control parameters and the influence of these parameters setting is also studied. The performance of HDE algorithm is compared with non-parallel DE algorithm on CEC2013 benchmark suite
24#
發(fā)表于 2025-3-25 18:54:44 | 只看該作者
On Meme Self-Adaptation in Spatially-Structured Multimemetic Algorithms strategies. We consider a class of MMAs in which these memes are rewriting rules whose length can be fixed during the run of the algorithm or self-adapt during the search process. We analyze this self-adaptation in the context of spatially-structured MMAs, namely MMAs in which the population is end
25#
發(fā)表于 2025-3-25 23:51:39 | 只看該作者
An Ant Algorithm for the Partition Graph Coloring Probleme nodes are partition into a given number of the node sets. The goal of the PGCP is to find a subset . that contains exactly one node for each cluster and a coloring for . so that in the graph induced by ., two adjacent nodes have different colors and the total number of used colors is minimal. The
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發(fā)表于 2025-3-26 03:43:39 | 只看該作者
27#
發(fā)表于 2025-3-26 04:30:25 | 只看該作者
28#
發(fā)表于 2025-3-26 10:00:36 | 只看該作者
29#
發(fā)表于 2025-3-26 16:21:45 | 只看該作者
30#
發(fā)表于 2025-3-26 18:03:32 | 只看該作者
Spectral Analysis of Geometric Multigrid Methods for Isogeometric Analysisl differential equations. We observe that the performance of standard V-cycle iteration is highly dependent on the spatial dimension as well as the spline degree of the discretization space. Conjugate gradient iteration preconditioned with one V-cycle mitigates this dependence, but does not eliminat
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