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27391 - 27400 von 32532

	27391	Multi-objective energy aware task scheduling using Orthogonal Learning Particle Swarm Optimization on cloud environment Enthalten in International journal of information technology Bd. 17, 13.11.2024, Nr. 1, date:1.2025: 447-454
	27392	Multi-objective load balancing based on enhanced self-adaptive learning PSO Enthalten in International journal of information technology Bd. 17, 30.5.2025, Nr. 6, date:7.2025: 3723-3730
	27393	Multi-objective optimal trajectory planning for manipulators based on CMOSPBO Enthalten in Autonomous intelligent systems Bd. 4, 1.11.2024, Nr. 1, date:12.2024: 1-18
	27394	Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning Enthalten in Journal of intelligent manufacturing Bd. 33, 12.2.2022, Nr. 4, date:4.2022: 1125-1138
	27395	Multi-objective optimization and predictive analytics of strength and embodied impacts of CDW-based geopolymers using various machine learning approaches Enthalten in Neural computing & applications Bd. 37, 16.4.2025, Nr. 18, date:6.2025: 12791-12823
	27396	Multi objective optimization of FDM 3D printing parameters set via design of experiments and machine learning algorithms Enthalten in Scientific reports Bd. 15, 14.5.2025, Nr. 1, date:12.2025: 1-16
	27397	Multi-objective optimization of fracturing ball strength and corrosion rate with genetic algorithms and interpretable machine learning Enthalten in Advanced composites and hybrid materials Bd. 8, 30.12.2024, Nr. 1, date:2.2025: 1-15
	27398	Multi-objective Optimization of Integrated Iron Ore Sintering Process Using Machine Learning and Evolutionary Algorithms Enthalten in Indian Institute of Metals: Transactions of the Indian Institute of Metals Bd. 73, 20.3.2020, Nr. 8, date:8.2020: 2033-2039
	27399	Multi-objective optimization of particle gluing operating parameters in particleboard production based on improved machine learning algorithms Enthalten in Journal of wood science Bd. 68, 28.11.2022, Nr. 1, date:12.2022: 1-10
	27400	Multi-objective optimization of ultra-high performance concrete based on life-cycle assessment and machine learning methods Enthalten in Frontiers of structural and civil engineering Bd. 19, 8.1.2025, Nr. 1, date:1.2025: 143-161

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