Výsledky vyhľadávania - "multi‐objective genetic algorithm"

Optimizing TRMS stability: a multi-objective genetic algorithm approach to PID controller design

Autori: Barış Çelebi Boğaç Bilgiç İstanbul University Cerrahpaşa Institutional Repository

Prispievatelia: Barış Çelebi Boğaç Bilgiç İstanbul University Cerrahpaşa Institutional Repository

Zdroj: Engineering Computations. 42:710-721

Predmety: Helicopter control, Multi-objective genetic algorithm, Motion stabilization, Twin Rotor Multi-Input Multi-Output System, PID controller

Prístupová URL adresa: https://hdl.handle.net/20.500.12831/24443
https://doi.org/10.1108/ec-06-2024-0476

Data-Driven Multi-Objective Genetic Algorithm for Energy Simulation and Optimization

Autori: Ning Li Lei Zhang

Zdroj: International Journal of Agricultural and Environmental Information Systems. 16:1-23

Optimization of Hybrid Battery-Supercapacitor Storage System in Electric Ship Using Multi-Objective Genetic Algorithm

Autori: Sreymey Meng Vita Lystianingrum Agoes Santoso

Zdroj: International Journal of Marine Engineering Innovation and Research. 10:584-592

NSGA-II based Multi-Objective Genetic Algorithm for Non-Slicing VLSI Floor Planning

Autori: Ashley Jose Rahul Kumar Chaurasiya

Zdroj: 2025 5th International Conference on Soft Computing for Security Applications (ICSCSA). :2019-2025

Noise Resilient Quantum Circuit Design by Multi-Objective Genetic Algorithm

Autori: Christian Wood Alberto Moraglio

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :2612-2615

A new multi-objective genetic algorithm for solving the fuzzy stochastic multi-manned assembly line balancing problem

Autori: Paraskevi Th. Zacharia Andreas C. Nearchou

Zdroj: International Journal of Production Research. :1-23

65-nm OTA Design Optimization Using Multi-Objective Genetic Algorithm

Autori: Mohamed Mostafa Dakhil Rania Fouad Ahmed Ahmed Hassan Madian a ďalší

Zdroj: Fayoum University Journal of Engineering. 8:55-63

Optimizing Service Placement in Edge-to-Cloud AR/VR Systems using a Multi-Objective Genetic Algorithm

Autori: Garshasbi Herabad, Mohammadsadeq Taheri, Javid Ahmed, Bestoun S. a ďalší

Zdroj: Proceedings of the 14th International Conference on Cloud Computing and Services Science CLOSER. :77-91

Predmety: Edge-to-Cloud Computing, Service Placement, Multi-Objective Genetic Algorithm, Augmented Reality, Virtual Reality., Computer Science, Datavetenskap

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-99765
https://doi.org/10.5220/0000186400003711

Robust MPPT And DFIG-Based Control Of GridConnected Wind Energy Systems Using Multi-Objective Genetic Algorithm Optimization

Autori: Adel Elgammal

Zdroj: IOSR Journal of Electrical and Electronics Engineering. 20:48-56

Advanced optimization of a two-degree-of-freedom PID controller for air pressure monitoring sensor using a multi-objective genetic algorithm

Autori: null Adunola Fatai Olatunde null Anuoluwapo Emmanuel Dada null Joshua Sokowonci Mommoh a ďalší

Zdroj: Global Journal of Engineering and Technology Advances. 23:045-076

Tourism Development Study of Juno ICSS Model Based on Multi-Objective Genetic Algorithm NSGA-II

Autori: Geyao Zhu

Zdroj: Highlights in Science, Engineering and Technology. 138:327-336

Multi-Objective Optimization of PLTMG Duri Engine 4-7 Operations Using RSM (Response Surface Methodology) – MOGA (Multi-Objective Genetic Algorithm) Methods for Efficiency Improvement and Emission Reduction

Autori: null Sandy Vetian

Zdroj: Journal of Information Systems Engineering and Management. 10:1159-1178

Optimizing Service Placement in Edge-to-Cloud AR/VR Systems Using a Multi-Objective Genetic Algorithm

Autori: Herabad, Mohammadsadeq G. Taheri, Javid Ahmed, Bestoun S. a ďalší

Prispievatelia: Herabad, Mohammadsadeq G. Taheri, Javid Ahmed, Bestoun S. a ďalší

Zdroj: 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

Predmety: 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)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2403.12849
https://pure.qub.ac.uk/en/publications/a29a8ee0-5ef8-4e2e-b472-23d13753ceb5
http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-99765

Multi-Objective Genetic Algorithm for Charging Station Capacity and Location Optimization

Autori: Yixuan Wang Jinghua Zhao Han Wen

Zdroj: International Journal of Intelligent Information Technologies. 21:1-33

Topology Optimization Based on Multi-Objective Genetic Algorithm in Multi-Node Underwater Detection Networks

Autori: Yu Yuan Yufan Yuan Foyuan Nie a ďalší

Zdroj: OCEANS 2025 Brest. :1-6

Multi-objective genetic algorithm optimization applied on hemodynamic system control*

Autori: Ada M. Tudor Cristina I. Muresan

Zdroj: 2025 33rd Mediterranean Conference on Control and Automation (MED). :417-422

Optimizing InceptionV3 Hyperparameters Using Multi-Objective Genetic Algorithm for Video Frame Classification

Autori: Ambra Korra Anduel Kuqi Indrit Enesi

Zdroj: 2025 20th Annual System of Systems Engineering Conference (SoSE). :1-6

Meta-MOGA: Meta-learning Multi-Objective Genetic Algorithm

Autori: Tianyu Li Kai Wu Xiaobin Li a ďalší

Zdroj: 2025 IEEE Congress on Evolutionary Computation (CEC). :1-4

Identification of Key Components in Power System Based on Improved Multi-Objective Genetic Algorithm

Autori: Ying Zhang Yunfeng Chen Kefu Zhang a ďalší

Zdroj: 2025 2nd International Symposium on New Energy Technologies and Power Systems (NETPS). :633-636

Container Group Scheduling Optimization Strategy Based on Multi-Objective Genetic Algorithm

Autori: Kai Zhou Kai Wang Yuhang Zhu a ďalší

Zdroj: 2025 5th International Conference on Computer, Control and Robotics (ICCCR). :358-364