Suchergebnisse - "Moth–flame optimization algorithm"

Hybrid golden Jackal and moth flame optimization algorithm based coverage path planning in heterogeneous UAV networks

Autoren: K. Karthik C. Balasubramanian R. Praveen

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-26 (2025)

Schlagwörter: Unmanned aerial vehicle (UAV), Region of interest, Coverage path planning, Golden Jackal optimization algorithm, Moth flame optimization algorithm, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/139494038cc84e2fbdc60a4f5ceda34a

Hybrid Water Cycle Moth Flame Optimization Algorithm to Resolve the Harmonic Distortion

Autoren: Akshay Kumar Dr. M. K. Bhaskar

Quelle: International Journal for Research in Applied Science and Engineering Technology. 13:8-14

Dynamic Optimization of Operation Cost and CO2 Emission Using Moth Flame Optimization Algorithm

Autoren: Abu Talha Abidur Rahman Sago Mohammad Abdul Mannan et al.

Quelle: 2025 4th International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST). :454-459

Rotor design optimization of a 4000 rpm permanent magnet synchronous generator using moth flame optimization algorithm

Autoren: Deniz Perin Aslan Deniz Karaoglan Kemal Yilmaz et al.

Weitere Verfasser: Deniz Perin Aslan Deniz Karaoglan Kemal Yilmaz et al.

Quelle: An International Journal of Optimization and Control: Theories & Applications (IJOCTA). 14:123-133

Schlagwörter: Rotor Design Optimization, Magnetic fFux Density Distribution, Moth Flame Optimization Algorithm, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, PMSG, 7. Clean energy

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/20.500.12462/15552

An implementation of inertia control strategy for grid-connected solar system using moth-flame optimization algorithm

Autoren: Nandakumar, N. Tibbie Pon Symon, V. A.

Quelle: Automatika, Vol 65, Iss 1, Pp 206-216 (2024)
Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije
Volume 65
Issue 1

Schlagwörter: Inertia control strategy, T59.5, Automation, Control engineering systems. Automatic machinery (General), TJ212-225, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, solar power system, 02 engineering and technology, grid-connected PV, maximum power point tracking, moth-flame optimization algorithm, 7. Clean energy

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/f81bd8b8158d494199805fbef347edb7

Hybrid Approach for Numerical Optimization using an Enhanced Moth-Flame Optimization Algorithm

Autoren: IJMSRT

Optimization Scheduling of Virtual Power Plants with Electric Vehicles Based on Moth-Flame Optimization Algorithm

Autoren: Jianyu Zhou Jiachuan Shi Lianheng Zhang et al.

Quelle: 2024 China Automation Congress (CAC). :6621-6626

A Coordinated Control Strategy for Flywheel Array Based on Moth-Flame Optimization Algorithm

Autoren: Jianan Chen Istas Fahrurrazi Nusyirwan Robiah Ahmad et al.

Quelle: 2024 5th International Conference on Smart Sensors and Application (ICSSA). :1-6

Multilevel thresholding based image segmentation using Masi entropy and moth-flame optimization algorithm

Autoren: Abdul Kayom Md Khairuzzaman

Quelle: International Journal of Information Technology. 16:5379-5388

Secure Cluster Based Routing Using Trust-based Modified Moth Flame Optimization Algorithm for WSN

Quelle: International Journal of Intelligent Engineering and Systems. 17:16-25

Robust PI Control for Lower Limb Exoskeleton Robot Based on the Moth Flame Optimization Algorithm

Autoren: Lie Yu Cong Zhang Lei Ding

Quelle: Journal of Robotics and Mechatronics. 36:889-898

Schlagwörter: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Frequency Domain Tuning of a Fractional Order PI/PID Controller Using Moth-Flame Optimization Algorithm

Autoren: Papia Ray Surender Reddy Salkuti Monalisa Biswal

Quelle: 2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation (SEFET). :01-06

An improved moth-flame optimization algorithm with periodic mutation and Gaussian mutation for safety-enhanced UAV path planning

Autoren: Xiaodong Zhao Zhiqiang Hu Xiaoqian Li et al.

Quelle: 2024 43rd Chinese Control Conference (CCC). :1991-1996

Multi-kernel support vector regression with improved moth-flame optimization algorithm for software effort estimation

Autoren: Jing Li Shengxiang Sun Li Xie et al.

Quelle: Sci Rep
Scientific Reports, Vol 14, Iss 1, Pp 1-30 (2024)

Schlagwörter: Support vector regression, Parameter optimization, Software effort estimation, Moth-flame optimization algorithm, Science, 0202 electrical engineering, electronic engineering, information engineering, Medicine, 02 engineering and technology, Article

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39043713
https://doaj.org/article/2d829c4755244d3bb6dc92245378616c

MMFOSOM: A Novel Multi-objective Moth–Flame Optimization Algorithm Based on Self-Organizing Mapping

Autoren: Zhifu Li Ziyang Zheng Chengkai Ni et al.

Quelle: International Journal of Computational Intelligence Systems, Vol 18, Iss 1, Pp 1-22 (2025)

Schlagwörter: Multi-objective optimization, Moth–flame optimization, Self-organizing mapping, Electronic computers. Computer science, QA75.5-76.95, Dual population

Zugangs-URL: https://doaj.org/article/994d90991fb442f5b35e006fa7a24c54

A Novel Hybrid Moth-Flame Optimization Algorithm for Enhanced Convergence and Search

Autoren: IJMSRT

Moth flame optimization algorithm for efficient feature selection and hybrid classification technique for intrusion detection system

Autoren: U. Keerthanarani V. Selvakumar S. Singaravelan et al.

Quelle: Multimedia Tools and Applications.

A multi-strategy enhanced moth-flame optimization algorithm for complex inverse kinematics problems in series robots

Autoren: Jianlin Liu Haisong Huang Qingsong Fan et al.

Quelle: Cluster Computing. 28

Mesh Router Nodes Placement for Wireless Mesh Networks Based on an Enhanced Moth–Flame Optimization Algorithm

Autoren: Taleb, Sylia Mekhmoukh Meraihi, Yassine Mirjalili, Seyedali Jamal et al.

Weitere Verfasser: Taleb, Sylia Mekhmoukh Meraihi, Yassine Mirjalili, Seyedali Jamal et al.

Quelle: Mobile Networks and Applications. 28:518-541

Schlagwörter: Technology, Science & Technology, Mesh router nodes placement, Moth flame optimization algorithm, Network design, Wireless mesh network, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Distributed computing and systems software, Hardware & Architecture, 02 engineering and technology, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Computer Science, Telecommunications, 0202 electrical engineering, electronic engineering, information engineering, Data structures and algorithms, Communications engineering, Information Systems

Zugangs-URL: https://hal.science/hal-04334504v1
https://doi.org/10.1007/s11036-022-02059-6

Long, short, and medium terms wind speed prediction model based on LSTM optimized by improved moth flame optimization algorithm

Autoren: Runze Li Jianzhou Wang Jingrui Li et al.

Quelle: Environmental Science and Pollution Research. 31:37256-37282

Schlagwörter: Animals, Wind, Models, Theoretical, Moths, Algorithms, Forecasting

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38771541