Suchergebnisse - "dynamic algorithm"
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1
Autoren: et al.
Weitere Verfasser: et al.
Quelle: Proceedings of the Genetic and Evolutionary Computation Conference. :1162-1171
Schlagwörter: Machine Learning, FOS: Computer and information sciences, Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), [INFO] Computer Science [cs], Machine Learning (cs.LG)
Dateibeschreibung: application/pdf
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2
Autoren: Lennart Schäpermeier
Quelle: Proceedings of the Genetic and Evolutionary Computation Conference. :1199-1207
Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control
Zugangs-URL: http://arxiv.org/abs/2504.11440
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3
Autoren: et al.
Quelle: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :563-566
Schlagwörter: izbira algoritmov, FOS: Computer and information sciences, reinforcement learning, instance selection, Computer Science - Machine Learning, dynamic algorithm configuration, generalization, Machine Learning (cs.LG)
Dateibeschreibung: text/url; application/pdf
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4
Autoren: et al.
Quelle: ECAI 2025. 413
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5
Autoren:
Quelle: Proceedings of the ACM on Management of Data. 3:1-24
Schlagwörter: FOS: Computer and information sciences, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS)
Zugangs-URL: http://arxiv.org/abs/2504.10748
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6
Autoren:
Quelle: ENVIRONMENT. TECHNOLOGY. RESOURCES. Proceedings of the International Scientific and Practical Conference; Vol. 4 (2025): Environment. Technology. Resources. Proceedings of the 16th International Scientific and Practical Conference. Volume 4; 363-367
Schlagwörter: CNC machine tool, dimension sub-tuning, Mechanical engineering
Dateibeschreibung: application/pdf
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7
Autoren: null Santosh Kumar Sana
Quelle: World Journal of Advanced Engineering Technology and Sciences. 15:218-234
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8
Autoren:
Quelle: Proceedings of the AAAI Conference on Artificial Intelligence. 39:27356-27364
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9
Quelle: ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА. 21:34-42
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10
Autoren: null Kamal Shah
Quelle: Journal of Information Systems Engineering and Management. 10:110-122
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11
Autoren:
Quelle: 2025 International Russian Smart Industry Conference (SmartIndustryCon). :1136-1140
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12
Autoren:
Quelle: Electronic Research Archive. 33:2989-3006
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13
Autoren: Jiaming Lu
Quelle: Highlights in Science, Engineering and Technology. 120:407-415
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14
Autoren:
Quelle: Nanotechnology Perceptions. :1035-1049
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15
Autoren: et al.
Quelle: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 54:4247-4259
Schlagwörter: Algorithm selection, deep reinforcement learning, differential evolution, Theory and Algorithms, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, meta-black-box optimization, black-box optimization
Dateibeschreibung: application/pdf
Zugangs-URL: http://arxiv.org/abs/2403.02131
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16
Autoren:
Quelle: Digital Communications and Networks, Vol 10, Iss 4, Pp 1024-1034 (2024)
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17
Autoren: et al.
Quelle: Lecture Notes in Networks and Systems ISBN: 9783031535970
Schlagwörter: dynamic algorithm, data analysis, key performance indicators
Dateibeschreibung: application/pdf
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18
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19
Autoren:
Quelle: 2024 IEEE Congress on Evolutionary Computation (CEC). :1-8
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20
Autoren:
Quelle: Journal Européen des Systèmes Automatisés. 57:773-779
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