Suchergebnisse - "Dingo optimization algorithm"

Dingo Optimization Algorithm for Sizing and Allocation of Wind Energy Systems in Radial Distribution System

Autoren: E. S. Ali S. M. Abd Elazim

Quelle: WSEAS TRANSACTIONS ON SYSTEMS. 24:84-90

Optimal Placement of Phasor Measurement Unit in Electrical Grid Using Dingo Optimization Algorithm

Autoren: ARIYO Funso Kehinde AYANLADE Samson Oladayo JIMOH Abdulrasaq et al.

Quelle: Journal of Electrical and Electronics Engineering, Vol 18, Iss 1, Pp 23-26 (2025)

Schlagwörter: observability, connectivity, dingo optimization algorithm, phasor measurement units, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Zugangs-URL: https://doaj.org/article/5b248c1d9e774698b9007fd6beb2f7bc

An Energy Efficient Virtual Machines Placement in Cloud Datacenters using Adaptive Greedy Dingo Optimization Algorithm

Autoren: null Saravanan Madderi Sivalingam

Quelle: Journal of Information Systems Engineering and Management. 10:539-556

Improved Dingo Optimization Algorithm with Multi-Disturbance Mechanism for 3D Un-derwater Wireless Sensor Network Coverage Optimization

Autoren: Yi Wang Fangxiu Wang Hui Liu et al.

Improved Dingo Optimization Algorithm for Human-robot Collaborative U-shaped Disassembly Line Balancing Problem

Autoren: Jialong Li XiWang Guo Jiacun Wang et al.

Quelle: 2024 International Conference on Cyber-Physical Social Intelligence (ICCSI). :1-6

High-performance quarter car active suspension system using PID controller tuned by the dingo optimization algorithm

Autoren: Thiago Carvalho Bittencourt Joab Tavares Fagundes Paulo Jefferson Dias de Oliveira Evald

Quelle: 2024 16th Seminar on Power Electronics and Control (SEPOC). :1-6

Energy Harvesting in Cognitive Radio Networks using Local Search based Dingo Optimization Algorithm

Autoren: Sripelli Jagadish Ramy Riad Al-Fatlawy Ankam Sreejyothsna et al.

Quelle: 2024 International Conference on Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC). :1-5

Cluster Head Selection using Dingo Optimization Algorithm in Mobile Ad Hoc Network

Autoren: Sanjaikanth E Vadakkethil Somanathan Pillai Piyush Kumar Pareek Kiran Polimetla et al.

Quelle: 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS). :1-7

Estimating equivalent circuit parameters in various photovoltaic models and modules using the dingo optimization algorithm

Autoren: Hasan Temurtaş Gürcan Yavuz Serdar Özyön et al.

Quelle: Journal of Computational Electronics. 23:1049-1090

Development of hybrid sewing training-based dingo optimization algorithm for massive MIMO spectral efficiency maximization system

Autoren: Mogiligundla Kondaiah Mididoddi Padmaja

Quelle: Australian Journal of Electrical and Electronics Engineering. 22:316-331

Investigating a hybrid extreme learning machine coupled with Dingo Optimization Algorithm for modeling liquefaction triggering in sand-silt mixtures

Autoren: Mohammed Majeed Hameed Adil Masood Aman Srivastava et al.

Quelle: Sci Rep
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)

Schlagwörter: Artificial neural network, Artificial intelligence, Earthquake, Dam Behaviour Modelling, Extreme learning machine, Science, 0211 other engineering and technologies, Seismic Design and Analysis of Underground Structures, Normalization (sociology), 02 engineering and technology, Adaptive neuro fuzzy inference system, Article, Engineering, Sociology, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Safety, Risk, Reliability and Quality, Data mining, Civil and Structural Engineering, Dingo Optimization Algorithm, Statistics, Computer science, FOS: Sociology, Algorithm, Fuzzy logic, Liquefaction, Geotechnical engineering, Fuzzy control system, 13. Climate action, Anthropology, Physical Sciences, Medicine, Mean squared error, Factors of Safety and Reliability in Geotechnical Engineering, Non-linear normalization, Statistics and Mechanisms of Embankment Dam Failures, Mathematics

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38734717
https://doaj.org/article/f2b4544d4a7c407787b23306cd3a36c5

Balancing Human-robot Collaborative Disassembly Line by Using Dingo Optimization Algorithm

Autoren: Xiwang Guo Liangbo Zhou Mengchu Zhou et al.

Quelle: 2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS). :1-6

Research on Peaking Strategy of Electric Vehicle Based on Improved Dingo Optimization Algorithm

Autoren: Xinlei Cai Yufei Guo Jinzhou Zhu et al.

Quelle: 2024 IEEE 2nd International Conference on Power Science and Technology (ICPST). :1995-1999

RETRACTED: Dingo optimization algorithm-based random forests model to evaluate the compressive strength of the concrete at elevated temperatures

Autoren: Hongling Zhang Hongzhi Zhang

Quelle: Journal of Intelligent & Fuzzy Systems. 48:545-559

Schlagwörter: 0211 other engineering and technologies, 02 engineering and technology, 0201 civil engineering

An Adaptive Coverage Strategy for WSNs With Dynamic Energy Decay Based on Multiobjective Dingo Optimization Algorithm

Autoren: Zongqing Li Zehui Zhang Bingchen Wu et al.

Quelle: IEEE Sensors Journal. 24:15133-15144

Revised Dingo Optimization Algorithm for Frequency Offset Design in FDA-MIMO Radar

Autoren: Yimeng Zhang Wenxing Li Bin Yang et al.

Quelle: Electronics Letters. 61

Comparative Study of Dingo Optimization Algorithm and Other Biological Heuristic Algorithms in Power System Optimization

Autoren: Xiaoxuan Wang Xinxin Zhang

Quelle: 2023 IEEE International Conference on Image Processing and Computer Applications (ICIPCA). :1564-1570

Hyperspectral Band Selection Based on Fuzzy C-means and Dingo Optimization Algorithm

Autoren: ShaoJuan Xu HaiXia Yu LiQiang Diao et al.

Quelle: 2023 IEEE 13th International Conference on Electronics Information and Emergency Communication (ICEIEC). :251-254

Efficiency Improvement of Mobile Robot Path Planning using Dingo Optimization Algorithm

Autoren: Xiaoyu Liu Yuanjing Zhu Qianxue Xu et al.

Quelle: 2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA). :519-523

Accelerate demand forecasting by hybridizing CatBoost with the dingo optimization algorithm to support supply chain conceptual framework precisely

Autoren: Ahmed M. Abed

Quelle: Frontiers in Sustainability, Vol 5 (2024)

Schlagwörter: e-business, hybridize algorithms, HB1-3840, machine learning, supply chain intelligence management, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Economic theory. Demography, 02 engineering and technology, inventory control

Zugangs-URL: https://doaj.org/article/dd39494885f54b46b44fb6e2d20e8b53