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Experimental evaluation and application of genetic programming to develop predictive correlations for hydrochar higher heating value and yield to optimize the energy content Marzban, Nader. - Amsterdam [u.a.] : Elsevier, 2022
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32 |
Exploring Material Design Space with a Deep-Learning Guided Genetic Algorithm Chen, Kuan-Lin. - Wadern : Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022
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33 |
Genetic Programming Berlin, Heidelberg : Springer Berlin Heidelberg, 2022, 1st edition 2022
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34 |
Genetic programming for iterative numerical methods Sobania, Dominik. - Mainz : Universitätsbibliothek der Johannes Gutenberg-Universität Mainz, 2022
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35 |
Genetic Programming Theory and Practice XVIII Singapore : Springer Singapore, 2022, 1st edition 2022
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Learning MAX-SAT Models from Examples Using Genetic Algorithms and Knowledge Compilation Berden, Senne. - Wadern : Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022
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On the structure and generalizability of programs synthesized by genetic programming Sobania, Dominik. - Mainz, 2022
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38 |
Refining mutation variants in Cartesian genetic programming Cui, Henning. - Augsburg : Universität Augsburg, 2022
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Unlocking approximation for in-memory computing with Cartesian genetic programming and computer algebra for arithmetic circuits Enthalten in Information technology Bd. 64, 2022, Nr. 3: 99-107. 9 S.
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Correction to: Buckling Load Estimation Using Multiple Linear Regression Analysis and Multigene Genetic Programming Method in Cantilever Beams with Transverse Stiffeners Enthalten in The Arabian journal for science and engineering 5.12.2022: 1
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