Výsledky vyhledávání - "Improved Dwarf Mongoose Optimization algorithm"

Electrical characterization of photovoltaic generators using the improved dwarf mongoose optimization algorithm: A novel approach to parameter extraction across diverse PV models

Autoři: Abdelfattah Elhammoudy Mustapha Elyaqouti El Hanafi Arjdal a další

Zdroj: International Journal of Hydrogen Energy. 112:354-368

Improved Dwarf Mongoose Optimization Algorithm for Feature Selection: Application in Software Fault Prediction Datasets

Autoři: Abdelaziz I. Hammouri Mohammed A. Awadallah Malik Sh. Braik a další

Zdroj: Journal of Bionic Engineering. 21:2000-2033

Improved dwarf mongoose optimization algorithm based on hybrid strategy for global optimization and engineering problems

Autoři: Fuchun He Chunming Fu Youwei He a další

Zdroj: The Journal of Supercomputing. 81

Real-time linear antenna array synthesis of broadside pattern using improved dwarf mongoose optimization algorithm

Autoři: Harbinder Singh Simrandeep Singh Amit Gupta

Zdroj: Telecommunication Systems. 84:565-579

Short-Term Electrical Load Forecasting Using an Enhanced Extreme Learning Machine Based on the Improved Dwarf Mongoose Optimization Algorithm

Autoři: Haocheng Wang Yu Zhang Lixin Mu

Zdroj: Symmetry. 16:628

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Improved dwarf mongoose optimization algorithm using novel nonlinear control and exploration strategies

Autoři: Shengwei Fu Haisong Huang Chi Ma a další

Zdroj: Expert Systems with Applications. 233:120904

改进的矮猫鼬优化算法求解约束优化问题. (Chinese)

Alternate Title: Improved Dwarf Mongoose Optimization Algorithm for Solving Constrained Optimization Problems. (English)

Autoři: 陈 淼 崔倩倩 赵秋丽 a další

Zdroj: Journal of Computer Engineering & Applications; Apr2025, Vol. 61 Issue 8, p351-362, 12p

Short-Term Electrical Load Forecasting Using an Enhanced Extreme Learning Machine Based on the Improved Dwarf Mongoose Optimization Algorithm.

Autoři: Wang, Haocheng Zhang, Yu Mu, Lixin

Zdroj: Symmetry (20738994); May2024, Vol. 16 Issue 5, p628, 15p

Témata: OPTIMIZATION algorithms, ELECTRICAL load, MONGOOSES, FORECASTING, NONLINEAR oscillators, PARTICLE swarm optimization, EXTREME learning machines

Geografický termín: CHINA

Improved dwarf mongoose optimization algorithm based on hybrid strategy for global optimization and engineering problems.

Autoři: He, Fuchun Fu, Chunming He, Youwei a další

Zdroj: Journal of Supercomputing; Feb2025, Vol. 81 Issue 3, p1-61, 61p

Improved Dwarf Mongoose Optimization Algorithm for Feature Selection: Application in Software Fault Prediction Datasets.

Autoři: Hammouri, Abdelaziz I. Awadallah, Mohammed A. Braik, Malik Sh. a další

Zdroj: Journal of Bionic Engineering; Jul2024, Vol. 21 Issue 4, p2000-2033, 34p

Real-time linear antenna array synthesis of broadside pattern using improved dwarf mongoose optimization algorithm.

Autoři: Singh, Harbinder Singh, Simrandeep Gupta, Amit

Zdroj: Telecommunication Systems; Dec2023, Vol. 84 Issue 4, p565-579, 15p

Témata: LINEAR antenna arrays, OPTIMIZATION algorithms, MONGOOSES, BEES algorithm

Optimized MobileNetV3: a deep learning-based Parkinson’s disease classification using fused images

Autoři: Sukanya Pechetti Battula Srinivasa Rao

Zdroj: PeerJ Computer Science, Vol 9, p e1702 (2023)

Témata: Parkinson’s disease, Feature extraction, MobileNetV3, Pyramid channel-based feature attention network, Improved Dwarf Mongoose Optimization algorithm, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://peerj.com/articles/cs-1702.pdf; https://peerj.com/articles/cs-1702/; https://doaj.org/toc/2376-5992

Přístupová URL adresa: https://doaj.org/article/f2a821f23a864c9d99f6c7b62e0ccb6d

Black Gram Disease Classification via Deep Ensemble Model with Optimal Training.

Autoři: Hajare, Neha Rajawat, Anand Singh

Zdroj: International Journal of Image & Graphics; Jul2025, Vol. 25 Issue 4, p1-35, 35p

Témata: SWARM intelligence, CONVOLUTIONAL neural networks, OPTIMIZATION algorithms, COMPUTER vision, DATA augmentation, RECURRENT neural networks, DEEP learning

Detecting fault in photovoltaic system with a hybrid PDACNN-IDMOA methodology.

Autoři: Rashmi, G. Manjusha, M. Anish John Paul, M. a další

Zdroj: Electrical Engineering; Apr2025, Vol. 107 Issue 4, p4393-4405, 13p

Témata: CONVOLUTIONAL neural networks, PHOTOVOLTAIC power systems, OPTIMIZATION algorithms, GENETIC vectors, ENERGY dissipation

Optimized MobileNetV3: a deep learning-based Parkinson's disease classification using fused images.

Autoři: Pechetti, Sukanya Rao, Battula Srinivasa

Zdroj: PeerJ Computer Science; Nov2023, p1-24, 24p

Témata: PARKINSON'S disease, NOSOLOGY, DEEP learning, OPTIMIZATION algorithms, MUSCLE rigidity, SYMPTOMS

Characterization of electrical 1-phase transformer parameters with guaranteed hotspot temperature and aging using an improved dwarf mongoose optimizer.

Autoři: Rizk-Allah, Rizk M. El-Fergany, Attia A. Gouda, Eid A. a další

Zdroj: Neural Computing & Applications; Jul2023, Vol. 35 Issue 19, p13983-13998, 16p

Témata: MONGOOSES, OPTIMIZATION algorithms, ELECTRIC transformers, POWER transformers, SIMPLEX algorithm

Multi-strategy collaborative improved Snake Optimizer for complex optimization problems and 3D UAV path planning.

Autoři: Wang, Heng Yang, Kai Chen, Jiadui a další

Zdroj: Cluster Computing; Dec2025, Vol. 28 Issue 16, p1-39, 39p

Témata: MATHEMATICAL optimization, OPTIMIZATION algorithms, HETEROGENEITY, METAHEURISTIC algorithms, LEVY processes, AERONAUTICAL navigation

LS-BMO-HDBSCAN as a hybrid memetic bacterial intelligence framework for efficient data clustering.

Autoři: Al-Nussairi, Ahmed Kateb Jumaah Abdulazez, Abdulsalam Abdulsattar Hadi, Ahmed Adnan a další

Zdroj: Scientific Reports; 11/19/2025, Vol. 15 Issue 1, p1-22, 22p

Témata: DATA mining, CLUSTERING algorithms, OPTIMIZATION algorithms, K-means clustering, COMPUTER performance

Enhanced crested porcupine optimizer for numerical optimization and wireless sensor network deployment.

Autoři: Zhao, Feng Li, Zenghe Guo, Peng a další

Zdroj: Scientific Reports; 11/17/2025, Vol. 15 Issue 1, p1-35, 35p

Témata: METAHEURISTIC algorithms, WIRELESS sensor networks, MATHEMATICAL optimization, CONSTRAINED optimization, HETEROGENEITY

Sand cat swarm optimization combining Adam and Monte Carlo tree search is used to solve complex optimization problems.

Autoři: Dai, Donghui Wang, Zhendong Zeng, Zhiyuan a další

Zdroj: Cluster Computing; Nov2025, Vol. 28 Issue 12, p1-39, 39p

Témata: OPTIMIZATION algorithms, METAHEURISTIC algorithms, MONTE Carlo method, CONSTRAINED optimization, MATHEMATICAL optimization