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Titlebook: Computational Science and Its Applications - ICCSA 2004; International Confer Antonio Laganá,Marina L. Gavrilova,Osvaldo Gervasi Conference

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樓主: 拼圖游戲
41#
發(fā)表于 2025-3-28 18:30:48 | 只看該作者
Reducing on the Number of Testing Items in the Branches of Decision Treesd, if some feature values in the branches require high costs to get or are not available. As a method to overcome this difficulty, we applied a multidimensional association rule algorithm with some restriction to the branches of generated decision tree, and found that most of the branches in the dec
42#
發(fā)表于 2025-3-28 20:57:27 | 只看該作者
CORBA-Based, Multi-threaded Distributed Simulation of Hierarchical DEVS Models: Transforming Model Sluster, a CORBA-Based, multi-threaded distributed simulation scheme for models specified by the DEVS formalism. The simulator transforms a hierarchical DEVS model into a non-hierarchical one. This transformation can ease the synchronization of the distributed simulation of DEVS models by enabling th
43#
發(fā)表于 2025-3-29 01:22:10 | 只看該作者
The Effects of Network Topology on Epidemic Algorithmscess allows rapid dissemination of information to all network nodes. However, the dynamics of epidemic algorithms can be strongly influenced by the network topology. In this paper, numerical simulations are used to illustrate such influences. We address networks with simple topologies for simplicity
44#
發(fā)表于 2025-3-29 07:05:01 | 只看該作者
45#
發(fā)表于 2025-3-29 09:10:22 | 只看該作者
46#
發(fā)表于 2025-3-29 12:11:05 | 只看該作者
47#
發(fā)表于 2025-3-29 16:49:53 | 只看該作者
48#
發(fā)表于 2025-3-29 23:05:11 | 只看該作者
49#
發(fā)表于 2025-3-30 00:30:25 | 只看該作者
A Study on Efficient Key Distribution and Renewal in Broadcast Encryptionating users, and; (2) the server and users generate keys by mutual agreement. The advantage of the two proposed methods is that the receiver can decode broadcast message using a secret key. Even if the key is renewed later, the user can efficiently renew using only a single set of information.
50#
發(fā)表于 2025-3-30 04:35:21 | 只看該作者
Self-Tuning Mechanism for Genetic Algorithms Parameters, an Application to Data-Object Allocation ineter values of the Genetic Algorithm for a given instance is possible, and that this mechanism yields satisfactory results in quality and execution time. We consider that the proposed method principles can be extended for the self-tuning of control parameters for other heuristic algorithms.
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