Suchergebnisse - "multi-objective genetic algorithm"
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Autoren: et al.
Quelle: Journal of Applied Fluid Mechanics, Vol 19, Iss 1, Pp 3398-3414 (2025)
Schlagwörter: reversible counter-rotating axial flow pump, s-shaped airfoil, optimization design, proxy models, adaptive multi-objective genetic algorithm (amga), Mechanical engineering and machinery, TJ1-1570
Dateibeschreibung: electronic resource
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Research on optimization of linkage driving mechanism of underwater pure water hydraulic manipulator
Autoren: et al.
Quelle: Jixie chuandong, Vol 49, Pp 62-68 (2025)
Schlagwörter: Water hydraulic, Underwater manipulator, Driving linkage mechanism, Multi-Objective genetic algorithm, Optimal design, Mechanical engineering and machinery, TJ1-1570
Dateibeschreibung: electronic resource
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Autoren:
Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-20 (2025)
Schlagwörter: Airbag landing system, Impact attenuation, Deep learning, Convolutional neural network, Multi-objective genetic algorithm, Medicine, Science
Dateibeschreibung: electronic resource
Relation: https://doaj.org/toc/2045-2322
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Autoren:
Weitere Verfasser:
Quelle: Engineering Computations. 42:710-721
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Autoren: et al.
Quelle: Jixie Gongcheng Xuebao Journal of Mechanical Engineering. 61(15):339-350
Schlagwörter: fatigue assessment, human muscle activation fatigue model, human-robot collaborative assembly, multi-objective genetic algorithm, sequence replanning
Dateibeschreibung: print
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Autoren: et al.
Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-25 (2025)
Schlagwörter: Computational fluid dynamics, Degrees of freedom (DoF), Response surface methodology, Multi-Objective genetic algorithm, Magnetically-Hydrodynamically levitation, Mini blood pump, Medicine, Science
Dateibeschreibung: electronic resource
Relation: https://doaj.org/toc/2045-2322
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Autoren: et al.
Quelle: Health and Technology.
Schlagwörter: Multi-objective genetic algorithm, Feature selection, Conformal prediction, Coronary artery disease, Uncertainty quantification
Dateibeschreibung: application/pdf
Zugangs-URL: https://hdl.handle.net/20.500.12713/7429
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Autoren: et al.
Quelle: Journal of Computing and Information Technology, Vol 32, Iss 4, Pp 251-264 (2024)
Journal of computing and information technology
CODEN CJCTEM
Volume 32
Issue 4Schlagwörter: Electronic computers. Computer science, distributed photovoltaic, cluster partitioning, QA75.5-76.95, 02 engineering and technology, 0204 chemical engineering, multi-objective genetic algorithm
Dateibeschreibung: application/pdf
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Autoren: et al.
Quelle: Proceedings of the 14th International Conference on Cloud Computing and Services Science CLOSER. :77-91
Schlagwörter: Edge-to-Cloud Computing, Service Placement, Multi-Objective Genetic Algorithm, Augmented Reality, Virtual Reality., Computer Science, Datavetenskap
Dateibeschreibung: electronic
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Autoren: et al.
Quelle: International transactions in operational research
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCHSchlagwörter: SELECTION, Economics, speed determination, heterogeneous fleet deployment, SAILING SPEED, multi-objective genetic algorithm, SHIPS, Business and Economics, fuel bunkering, liner shipping, carbon emission, ALGORITHM, PRICE, bi-objective mixed integer nonlinear programming, Mathematics
Dateibeschreibung: application/pdf
Zugangs-URL: https://hdl.handle.net/10067/2086810151162165141
http://doi.org/10.1111/itor.13552
https://biblio.ugent.be/publication/01JNDPFDT2ER5KF0W67FZ6HZ84
http://hdl.handle.net/1854/LU-01JNDPFDT2ER5KF0W67FZ6HZ84
https://biblio.ugent.be/publication/01JNDPFDT2ER5KF0W67FZ6HZ84/file/01JP02RWER4AHANX5Z2XNY9AB3 -
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Journal of Vibration Engineering & Technologies. 12:1103-1117
Schlagwörter: Twin rotor model, 0209 industrial biotechnology, Fuzzy second order sliding mode control, Multi-objective genetic algorithm, 0202 electrical engineering, electronic engineering, information engineering, Experimental results, 02 engineering and technology
Dateibeschreibung: application/pdf
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Herabad, M G, Taheri, J, Ahmed, B S & Curescu, C 2024, Optimizing service placement in edge-to-cloud AR/VR systems using a multi-objective genetic algorithm. in M van Steen & C Pahl (eds), Proceedings of the 14th International Conference on Cloud Computing and Services Science, CLOSER 2024. vol. 1, International Conference on Cloud Computing and Services Science, CLOSER-Proceedings, Science and Technology Publications, Lda, pp. 77-91, 14th International Conference on Cloud Computing and Services Science, CLOSER 2024, Angers, France, 02/05/2024. https://doi.org/10.5220/0012715200003711
Schlagwörter: FOS: Computer and information sciences, 7. Clean energy, name=Computer Science (miscellaneous), Computer Systems, name=Computer Science Applications, Multi-Objective Genetic Algorithm, Augmented Reality, Computer Sciences, 9. Industry and infrastructure, Virtual Reality, Edge-to-Cloud Computing, name=Software, Datorsystem, Datavetenskap (datalogi), Computer Science - Distributed, Parallel, and Cluster Computing, Service Placement, Distributed, Parallel, and Cluster Computing (cs.DC)
Dateibeschreibung: application/pdf
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Autoren: et al.
Quelle: Case Studies in Thermal Engineering, Vol 72, Iss , Pp 106259- (2025)
Schlagwörter: Coiled-tube, Resistance furnace, Heat transfer enhancement, Multi-objective genetic algorithm, Fitting correlations, Engineering (General). Civil engineering (General), TA1-2040
Dateibeschreibung: electronic resource
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Autoren: et al.
Quelle: Nuclear Engineering and Technology, Vol 57, Iss 7, Pp 103531- (2025)
Schlagwörter: Laser wakefield acceleration, External injection, Photocathode injector, Beam dynamics, Multi-objective genetic algorithm, Nuclear engineering. Atomic power, TK9001-9401
Dateibeschreibung: electronic resource
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15
Autoren: et al.
Quelle: BMC Biotechnology, Vol 25, Iss 1, Pp 1-19 (2025)
Schlagwörter: Abiotic stress, Artificial neural network (ANN), Carotenoids, Cyanobacteria, Multi-objective genetic algorithm (MOGA), Synechocystis sp. PCC 6803, Biotechnology, TP248.13-248.65
Dateibeschreibung: electronic resource
Relation: https://doaj.org/toc/1472-6750
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Autoren:
Quelle: IEEE Access, Vol 13, Pp 184286-184296 (2025)
Schlagwörter: Demand response, digital twin, dynamic pricing, microgrid, multi-objective genetic algorithm, neural network, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Dateibeschreibung: electronic resource
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17
Autoren:
Quelle: Jixie chuandong, Pp 1-13 (2025)
Schlagwörter: High-strength leaf chain, Response surface methodology, Multi-Objective genetic algorithm, Multi-objective optimization, Fatigue life prediction, Mechanical engineering and machinery, TJ1-1570
Dateibeschreibung: electronic resource
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Autoren: Ferreira, Inês Jorge da Silva e
Schlagwörter: Radial-Flux Synchronous Machines, Parametric Design Optimization, Electromagnetic Design, Multi-objective Genetic Algorithm, Finite Element Analysis, Máquinas Síncronas de Fluxo Radial, Otimização de Topologias Parametrizadas, Projeto Eletromagnético, Algoritmo Genético Multiobjetivo, Análise de Elementos Finitos
Verfügbarkeit: https://hdl.handle.net/10316/118519
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Autoren:
Quelle: Applied Sciences, Vol 15, Iss 20, p 11239 (2025)
Schlagwörter: dual metal rubber clamp (DMRC), multi-parameter synchronous identification, finite element method (FEM), Pareto multi-objective genetic algorithm, modal analysis, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Dateibeschreibung: electronic resource
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Autoren:
Quelle: Volume: 8, Issue: 153-62
Journal of Energy SystemsSchlagwörter: Elektrik Enerjisi Taşıma, Şebeke ve Sistemleri, Elektrik Enerjisi Üretimi (Yenilenebilir Kaynaklar Dahil, Fotovoltaikler Hariç), Cost Optimization, Finite Element Method, Multi-Objective Genetic Algorithm, Transformer Design, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electrical Energy Transmission, Networks and Systems, Electrical Energy Generation (Incl. Renewables, Excl. Photovoltaics), Elektrik Enerjisi Depolama, 02 engineering and technology, Electrical Energy Storage, 7. Clean energy
Dateibeschreibung: application/pdf
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