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樓主
發(fā)表于 2025-3-21 18:14:25 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Genetic Systems Programming
編輯Nadia Nedjah,Luiza de Macedo Mourelle,Ajith Abraha
視頻videohttp://file.papertrans.cn/383/382633/382633.mp4
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: ;
出版日期Book 2006
版次1
doihttps://doi.org/10.1007/3-540-32498-4
isbn_softcover978-3-642-06753-2
isbn_ebook978-3-540-32498-0Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
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書目名稱Genetic Systems Programming影響因子(影響力)




書目名稱Genetic Systems Programming影響因子(影響力)學(xué)科排名




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沙發(fā)
發(fā)表于 2025-3-21 23:35:03 | 只看該作者
Evolving Complex Robotic Behaviors Using Genetic Programming,proach. The first used subsumption architecture to control a team of two robots with different capabilities to implement a cooperative behavior. The second experiment used action selection architecture to allow switching between the simpler behaviors that constitute the main behavior.
板凳
發(fā)表于 2025-3-22 02:12:33 | 只看該作者
Genetic Systems Programming978-3-540-32498-0Series ISSN 1860-949X Series E-ISSN 1860-9503
地板
發(fā)表于 2025-3-22 08:05:27 | 只看該作者
https://doi.org/10.1007/978-3-031-14399-1olution 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.
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發(fā)表于 2025-3-22 10:48:54 | 只看該作者
6#
發(fā)表于 2025-3-22 14:31:57 | 只看該作者
7#
發(fā)表于 2025-3-22 17:02:15 | 只看該作者
https://doi.org/10.1007/978-1-349-26618-0archy in the solution through implementing ADF and maintaining a subroutine library or using neural networks as primitive functions..In the second approach, human programmer set the architecture of the robot controller and then the GP is used to evolve each module of this architecture. Two examples
8#
發(fā)表于 2025-3-22 21:46:07 | 只看該作者
https://doi.org/10.1007/978-3-031-14399-1olution 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.
9#
發(fā)表于 2025-3-23 04:10:37 | 只看該作者
The Political Economy of Identitysses 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.
10#
發(fā)表于 2025-3-23 06:47:00 | 只看該作者
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