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11#
發(fā)表于 2025-3-23 12:14:48 | 只看該作者
Evolving Intrusion Detection Systems,sses and LGP outperform MEP for two of the classes. MEP classification accuracy is grater than 95% for all considered classes and for three of them is greater than 99.75%. It is to be noted that for real time intrusion detection systems MEP and LGP would be the ideal candidates because of its simplified implementation.
12#
發(fā)表于 2025-3-23 17:49:47 | 只看該作者
Evolutionary Computation: from Genetic Algorithms to Genetic Programming,olution strategies, evolutionary programming and genetic programming. Most popular variants of genetic programming are introduced. Important advantages of evolutionary computation while compared to classical optimization techniques are also discussed.
13#
發(fā)表于 2025-3-23 19:44:56 | 只看該作者
Evolving Intrusion Detection Systems,sses and LGP outperform MEP for two of the classes. MEP classification accuracy is grater than 95% for all considered classes and for three of them is greater than 99.75%. It is to be noted that for real time intrusion detection systems MEP and LGP would be the ideal candidates because of its simpli
14#
發(fā)表于 2025-3-23 22:13:13 | 只看該作者
Evolutionary Pattern Matching Using Genetic Programming,st defined some notation and necessary terminologies. Then, we formulated the problem of pattern matching and the impact that the traversal order of the patterns has on the process efficiency, when the patterns are ambiguous. We also gave some heuristics that allow the engineering of a relatively go
15#
發(fā)表于 2025-3-24 06:10:39 | 只看該作者
16#
發(fā)表于 2025-3-24 07:41:11 | 只看該作者
17#
發(fā)表于 2025-3-24 12:19:08 | 只看該作者
18#
發(fā)表于 2025-3-24 15:36:47 | 只看該作者
19#
發(fā)表于 2025-3-24 19:46:06 | 只看該作者
20#
發(fā)表于 2025-3-25 03:13:39 | 只看該作者
Nadia Nedjah,Luiza de Macedo Mourelle,Ajith Abraha
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