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16101 - 16110 von 16996
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Artikel 16101 Self-adaptive multi-population genetic algorithms for dynamic resource allocation in shared hosting platforms
Enthalten in Genetic programming and evolvable machines Bd. 19, 4.7.2018, Nr. 4, date:12.2018: 505-534
Online Ressource
Artikel 16102 Self-adaptive relaxed CQ algorithms for solving split feasibility problem with multiple output sets
Enthalten in Journal of applied mathematics and computing Bd. 70, 26.2.2024, Nr. 2, date:4.2024: 1441-1469
Online Ressource
Artikel 16103 Self-Adjusted Consensus Clustering with Agglomerate Algorithms
Enthalten in Automation and remote control Bd. 85, 6.8.2024, Nr. 3, date:3.2024: 241-251
Online Ressource
Artikel 16104 Self-concordant inclusions: a unified framework for path-following generalized Newton-type algorithms
Enthalten in Mathematical programming Bd. 177, 30.3.2018, Nr. 1-2, date:9.2019: 173-223
Online Ressource
Artikel 16105 Self-contained algorithms to detect communities in networks
Enthalten in The European physical journal / B / Condensed matter and complex systems Bd. 38, 1.03.2004, Nr. 2, date:03.2004: 311-319
Online Ressource
Artikel 16106 Self-learning Algorithms in Automotive Production
Enthalten in MTZ worldwide Bd. 84, 17.2.2023, Nr. 2-3, date:2.2023: 8-13
Online Ressource
Artikel 16107 Self-learning Algorithms in Automotive Production
Enthalten in ATZ worldwide Bd. 125, 24.2.2023, Nr. 2-3, date:2.2023: 10-15
Online Ressource
Artikel 16108 Self-learning Algorithms in Automotive Production
Enthalten in ATZelectronics worldwide Bd. 18, 6.4.2023, Nr. 3-4, date:4.2023: 36-41
Online Ressource
Artikel 16109 Self-organized traffic flow at the lightless intersection: algorithms, policies and simulations of the environmental impact
Enthalten in Clean technologies and environmental policy Bd. 18, 24.12.2015, Nr. 5, date:6.2016: 1443-1455
Online Ressource
Artikel 16110 Semantics and algorithms for trustworthy commitment achievement under model uncertainty
Enthalten in Autonomous agents and multi-agent systems Bd. 34, 18.1.2020, Nr. 1, date:4.2020: 1-35
Online Ressource


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