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Titlebook: Applications of Evolutionary Computing; EvoWorkshops 2007:Ev Mario Giacobini Conference proceedings 2007 Springer-Verlag Berlin Heidelberg

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樓主: CROSS
41#
發(fā)表于 2025-3-28 15:37:24 | 只看該作者
A Genetic Programming Approach for Bankruptcy Prediction Using a Highly Unbalanced Database number of healthy ones (.) and a considerable number of companies have missing data. For comparison purposes we have solved the same problem using a support vector machine. Genetic programming has achieved very satisfactory results, improving those obtained with the support vector machine.
42#
發(fā)表于 2025-3-28 18:53:02 | 只看該作者
43#
發(fā)表于 2025-3-28 22:53:45 | 只看該作者
44#
發(fā)表于 2025-3-29 06:19:57 | 只看該作者
45#
發(fā)表于 2025-3-29 09:08:27 | 只看該作者
Design of a User Space Software Suite for Probabilistic Routing in Ad-Hoc Networks forwarding typical for probabilistic routing can easily be implemented. MagAntA can also be used in other types of networks such as traditional wired networks, and can easily be extended to incorporate different types of routing algorithms, other than probabilistic ones.
46#
發(fā)表于 2025-3-29 13:50:09 | 只看該作者
Radio Network Design Using Population-Based Incremental Learning and Grid Computing with BOINCn Infrastructure for Network Computing). In this way, we have been able to execute thousands of experiments in only several days using around 100 computers at the same time. In this paper we present the most interesting results from our work.
47#
發(fā)表于 2025-3-29 17:50:53 | 只看該作者
48#
發(fā)表于 2025-3-29 23:37:25 | 只看該作者
49#
發(fā)表于 2025-3-30 03:44:13 | 只看該作者
Aicardi-Goutières Syndrome (AGS1–AGS7)n Infrastructure for Network Computing). In this way, we have been able to execute thousands of experiments in only several days using around 100 computers at the same time. In this paper we present the most interesting results from our work.
50#
發(fā)表于 2025-3-30 06:08:03 | 只看該作者
Jordan Scott Orange,Javier Chinene mutation and relies instead on incest prevention and disruptive crossover. Due to the complexity of such a large analysis including so many techniques, we have used not only sequential algorithms, but grid computing with BOINC in order to execute thousands of experiments in only several days using
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