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Artikel 501 Improving Anomalous Rare Attack Detection Rate for Intrusion Detection System Using Support Vector Machine and Genetic Programming
Enthalten in Neural processing letters Bd. 44, 11.7.2015, Nr. 2, date:10.2016: 279-290
Online Ressource
Artikel 502 Index tracking with controlled number of assets using a hybrid heuristic combining genetic algorithm and non-linear programming
Enthalten in Annals of operations research Bd. 258, 3.2.2016, Nr. 2, date:11.2017: 849-867
Online Ressource
Artikel 503 Integrated computational intelligent paradigm for nonlinear electric circuit models using neural networks, genetic algorithms and sequential quadratic programming
Enthalten in Neural computing & applications Bd. 32, 26.10.2019, Nr. 14, date:7.2020: 10337-10357
Online Ressource
Artikel 504 Introducing probabilistic adaptive mapping developmental genetic programming with redundant mappings
Enthalten in Genetic programming and evolvable machines Bd. 8, 10.5.2007, Nr. 2, date:6.2007: 187-220
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Artikel 505 Introduction to special issue on highlights of genetic programming 2022 events
Enthalten in Genetic programming and evolvable machines Bd. 25, 8.12.2023, Nr. 1, date:6.2024: 1-3
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Artikel 506 Is the evolution metaphor still necessary or even useful for genetic programming?
Enthalten in Genetic programming and evolvable machines Bd. 24, 22.11.2023, Nr. 2, date:12.2023: 1-3
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Artikel 507 Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors
Enthalten in User modeling and user adapted interaction Bd. 14, 11.04.2005, Nr. 5, date:01.2004: 425-464
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Artikel 508 Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization
Enthalten in Genetic programming and evolvable machines Bd. 13, 20.1.2012, Nr. 1, date:3.2012: 103-133
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Artikel 509 Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning
Enthalten in Artificial intelligence review Bd. 58, 15.3.2025, Nr. 6, date:6.2025: 1-53
Online Ressource
Artikel 510 Learning patterns of states from multi-channel time series using genetic programming
Enthalten in Soft computing Bd. 20, 20.4.2016, Nr. 10, date:10.2016: 3915-3925
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