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501 - 510 von 646
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Artikel 501 Evaluation of Flow Resistance using Multi-Gene Genetic Programming for Bed-load Transport in Gravel-bed Channels
Enthalten in Water resources management Bd. 37, 28.4.2023, Nr. 8, date:6.2023: 2945-2967
Online Ressource
Artikel 502 Evaluation of parameters for combining multiple textual sources of evidence for Web image retrieval using genetic programming
Enthalten in Sociedade Brasileira de Computação: Journal of the Brazilian Computer Society Bd. 19, 15.9.2012, Nr. 2, date:6.2013: 147-160
Online Ressource
Artikel 503 Evolution of fuzzy classifiers using genetic programming
Enthalten in Fuzzy information and engineering Bd. 4, 27.4.2012, Nr. 1, date:3.2012: 29-49
Online Ressource
Artikel 504 Evolution of mathematical models of chaotic systems based on multiobjective genetic programming
Enthalten in Knowledge and information systems Bd. 8, 1.8.2005, Nr. 2, date:8.2005: 235-256
Online Ressource
Artikel 505 Evolving an emotion recognition module for an intelligent agent using genetic programming and a genetic algorithm
Enthalten in Artificial life and robotics Bd. 21, 3.2.2016, Nr. 1, date:3.2016: 85-90
Online Ressource
Artikel 506 Evolving autoencoding structures through genetic programming
Enthalten in Genetic programming and evolvable machines Bd. 20, 25.5.2019, Nr. 3, date:9.2019: 413-440
Online Ressource
Artikel 507 Evolving genetic programming and other AI-based models for estimating groundwater quality parameters of the Khezri plain, Eastern Iran
Enthalten in Environmental earth sciences Bd. 78, 23.1.2019, Nr. 3, date:2.2019: 1-13
Online Ressource
Artikel 508 Evolving routing policies for electric vehicles by means of genetic programming
Enthalten in Applied intelligence Bd. 54, 13.9.2024, Nr. 23, date:12.2024: 12391-12419
Online Ressource
Artikel 509 Evolving timetabling heuristics using a grammar-based genetic programming hyper-heuristic framework
Enthalten in Memetic computing Bd. 1, 11.10.2009, Nr. 3, date:11.2009: 205-219
Online Ressource
Artikel 510 EvoStencils: a grammar-based genetic programming approach for constructing efficient geometric multigrid methods
Enthalten in Genetic programming and evolvable machines Bd. 22, 3.9.2021, Nr. 4, date:12.2021: 511-537
Online Ressource


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