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Neuigkeiten Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.
 
 
 


Ergebnis der Suche nach: tit all "Genetic Programming"
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Artikel 191 Water Curtain System Pre-design for Crude Oil Storage URCs: A Numerical Modeling and Genetic Programming Approach
Enthalten in Geotechnical and geological engineering 1.9.2017: 1-14
Online Ressource
Artikel 192 Developing a bio-inspired multi-gene genetic programming based intelligent estimator to reduce speckle noise from ultrasound images
Enthalten in Multimedia tools and applications 30.8.2017: 1-19
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Artikel 193 An improved semantic schema modeling for genetic programming
Enthalten in Soft computing 22.8.2017: 1-24
Online Ressource
Artikel 194 Semantic schema modeling for genetic programming using clustering of building blocks
Enthalten in Applied intelligence 17.8.2017: 1-19
Online Ressource
Artikel 195 Run-time Reconfigurable Acceleration for Genetic Programming Fitness Evaluation in Trading Strategies
Enthalten in Journal of signal processing systems 8.5.2017: 1-14
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Artikel 196 Genetic Programming $$\varvec+}$$ + Proof Search $$\varvec=}$$ = Automatic Improvement
Enthalten in Journal of automated reasoning 7.3.2017: 1-20
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Artikel 197 An Automated Investing Method for Stock Market Based on Multiobjective Genetic Programming
Enthalten in Computational economics 2.3.2017: 1-20
Online Ressource
Artikel 198 Predicting the shear strength parameters of sandstone using genetic programming
Enthalten in Bulletin of engineering geology and the environment 27.2.2017: 1-16
Online Ressource
Artikel 199 Genetic programming for production scheduling: a survey with a unified framework
Enthalten in Complex & intelligent systems 24.2.2017: 1-26
Online Ressource
Artikel 200 Genotype–phenotype mapping implications for genetic programming representation: Commentary on “On the mapping of genotype to phenotype in evolutionary algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin
Enthalten in Genetic programming and evolvable machines 24.2.2017: 1-4
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