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Artikel 21791 Tailored genetic algorithms for the detailed design optimization of reinforced concrete structures: case study on a flexural beam
Enthalten in Structural and multidisciplinary optimization Bd. 68, 21.8.2025, Nr. 8, date:8.2025: 1-21
Online Ressource
Artikel 21792 Tailoring recommendation algorithms to ideal preferences makes users better off
Enthalten in Scientific reports Bd. 13, 8.6.2023, Nr. 1, date:12.2023: 1-9
Online Ressource
Artikel 21793 Taking advantage of solving the resource constrained multi-project scheduling problems using multi-modal genetic algorithms
Enthalten in Soft computing Bd. 20, 14.2.2015, Nr. 5, date:5.2016: 1879-1896
Online Ressource
Artikel 21794 Taking into account nonholonomic contraints of SINS output signals in azimuth correction algorithms
Enthalten in Gyroscopy and navigation Bd. 4, 17.2.2013, Nr. 1, date:1.2013: 26-33
Online Ressource
Artikel 21795 Tangible power loss lessening by hybridized beautiful demoiselle-enriched particle swarm and pyramid optimization algorithms
Enthalten in International journal of system assurance engineering and management Bd. 13, 3.9.2021, Nr. 1, date:2.2022: 450-468
Online Ressource
Artikel 21796 Target detection using supervised machine learning algorithms for GPR data
Enthalten in Sensing and imaging Bd. 21, 21.2.2020, Nr. 1, date:12.2020: 1-15
Online Ressource
Artikel 21797 Targeted metal–organic framework discovery goes digital: machine learning’s quest from algorithms to atom arrangements
Enthalten in Advanced composites and hybrid materials Bd. 7, 4.11.2024, Nr. 6, date:12.2024: 1-27
Online Ressource
Artikel 21798 Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review
Enthalten in Cluster computing Bd. 25, 5.1.2022, Nr. 2, date:4.2022: 1035-1093
Online Ressource
Artikel 21799 Taxon ordering in phylogenetic trees by means of evolutionary algorithms
Enthalten in BioData Mining Bd. 4, 1.7.2011, Nr. 1, date:12.2011: 1-11
Online Ressource
Artikel 21800 Taxonomy of optimization algorithms combined with CNN for optimal placement of virtual machines within physical machines in data centers
Enthalten in Energy informatics Bd. 7, 19.10.2024, Nr. 1, date:12.2024: 1-33
Online Ressource


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