Suchergebnisse - dynamic multi-objective evolutionary algorithm
-
1
Autoren: et al.
Quelle: IEEE Transactions on Emerging Topics in Computational Intelligence. 10:938-951
-
2
Autoren:
Quelle: 2025 International Conference on Electrical, Control and Artificial Intelligence (ICOECAI). :230-233
-
3
Autoren:
Quelle: 2025 7th International Conference on Data-driven Optimization of Complex Systems (DOCS). :295-300
-
4
Autoren:
Quelle: 2025 7th International Conference on Data-driven Optimization of Complex Systems (DOCS). :307-312
-
5
Autoren: et al.
Quelle: 2025 IEEE/CIC International Conference on Communications in China (ICCC). :1-6
-
6
Autoren: et al.
Quelle: 2025 IEEE Congress on Evolutionary Computation (CEC). :1-4
-
7
Autoren: et al.
Quelle: 2025 IEEE Congress on Evolutionary Computation (CEC). :1-8
-
8
-
9
Autoren: et al.
Quelle: SCIENTIA SINICA Informationis.
-
10
-
11
Autoren:
Quelle: Applied Intelligence. 56
-
12
Autoren: et al.
Quelle: 2025 IEEE 12th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). :1443-1447
-
13
Autoren:
Quelle: 2025 37th Chinese Control and Decision Conference (CCDC). :514-519
-
14
Autoren:
Quelle: Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. :8876-8884
Schlagwörter: FOS: Computer and information sciences, F.2.2, G.3, Primary: 68W50, Secondary: 68W20, 68W40, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)
Zugangs-URL: http://arxiv.org/abs/2505.01266
-
15
Autoren:
Quelle: Mathematical Biosciences and Engineering, Vol 21, Iss 3, Pp 3540-3562 (2024)
Schlagwörter: 0209 industrial biotechnology, evolutionary algorithm, pareto optimal solutions, multi-direction, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, prediction, 02 engineering and technology, dynamic multi-objective optimization, TP248.13-248.65, Mathematics, Biotechnology
-
16
-
17
Autoren: et al.
Quelle: IEEE Transactions on Evolutionary Computation. 29:1820-1833
Schlagwörter: evolutionary algorithm, neural network, Dynamic multi-objective optimization (DMO), dynamic response
Dateibeschreibung: application/pdf
Zugangs-URL: https://hdl.handle.net/10576/62257
-
18
Autoren: et al.
Quelle: Memetic Computing. 18
-
19
Autoren: et al.
Quelle: 2025 5th International Conference on Neural Networks, Information and Communication Engineering (NNICE). :146-154
-
20
Autoren:
Quelle: IEEE Access, Vol 13, Pp 176421-176433 (2025)
Schlagwörter: Dynamic multi-objective optimization, evolutionary algorithm, prediction, spectral clustering, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Dateibeschreibung: electronic resource
Full Text Finder
Nájsť tento článok vo Web of Science