Výsledky vyhledávání - improved dwarf mongoose optimisation 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 prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems

Autoři: Abualigah, Laith Oliva, Diego Jia, Heming a další

Zdroj: Multimedia tools and applications. 83(11):32613-32653

Témata: Prairie dog optimization algorithm, Dwarf mongoose optimization algorithm, Meta-heuristics, Benchmark functions, Optimization problems

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-198502

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

A Two-Stage Feature Selection Method for Hyperspectral Image Classification: Hybrid Filter Preprocessing and Improved Dwarf Mongoose Optimization

Autoři: Huanhuan Lv Chong Chen Hui Zhang a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 29271-29294 (2025)

Témata: Dwarf mongoose optimization (DMO) algorithm, feature selection, Fisher algorithm, hyperspectral image, ReliefF algorithm, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11218632/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

Přístupová URL adresa: https://doaj.org/article/d1e39c5312a94eeba3f951001f3def98

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

Research of UAV 3D path planning based on improved Dwarf mongoose algorithm with multiple strategies

Autoři: Lixin Mu Wenhui Liu Haocheng Wang a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-24 (2025)

Témata: UAV path planning, Dwarf mongoose algorithm, Chaotic mapping, Inverse learning, Nonlinear weights, Golden sine, Medicine, Science

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/5cf48e6c9b1944648743433244e86273

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

Data-driven decision making for manufacturing processes using pyramidal dilation attention convolutional neural network optimized with improved dwarf mongoose optimization

Autoři: Ashvin B Amale P Rajesh J Shana a další

Zdroj: Intelligent Decision Technologies. 19:337-351

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

Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems

Autoři: Jeffrey O. Agushaka Absalom E. Ezugwu Oyelade N. Olaide a další

Zdroj: J Bionic Eng

Témata: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Research Article

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36530517

Nondestructive and accurate prediction of IGBT junction temperature in wind power converters: based on IDMOA-ELM prediction method.

Autoři: Jiaqi, Liu Li, Lingling Liu, Yuwei

Zdroj: Nondestructive Testing & Evaluation. Jun2025, Vol. 40 Issue 6, p2369-2399. 31p.

Témata: *EXTREME learning machines, *OPTIMIZATION algorithms, *WIND power, *BIPOLAR transistors, *DIFFERENTIAL evolution

Optimal Allocation of TCSC Devices in Transmission Power Systems by a Novel Adaptive Dwarf Mongoose Optimization

Autoři: Hashim Alnami Ali M. El-Rifaie Ghareeb Moustafa a další

Zdroj: IEEE Access, Vol 12, Pp 6063-6087 (2024)

Témata: power systems, Dwarf Mongoose optimizer, alpha-directed learning process, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, power losses minimization, thyristor controlled series capacitor technology, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 7. Clean energy, TK1-9971

Přístupová URL adresa: https://doaj.org/article/134d8b33efdb4451a76b2e064c0aa52d

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

Dwarf Updated Pelican Optimization Algorithm for Depression and Suicide Detection from Social Media.

Autoři: Agarwal D Singh V Singh AK a další

Zdroj: The Psychiatric quarterly [Psychiatr Q] 2025 Sep; Vol. 96 (3), pp. 529-562. Date of Electronic Publication: 2025 Feb 13.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 0376465 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-6709 (Electronic) Linking ISSN: 00332720 NLM ISO Abbreviation: Psychiatr Q Subsets: MEDLINE

Výrazy ze slovníku MeSH: Social Media* , Suicide* , Depression*/diagnosis , Algorithms* , Deep Learning* , Suicidal Ideation*, Humans

Modified Dwarf Mongoose Optimization Enabled Energy Aware Clustering Scheme for Cognitive Radio Wireless Sensor Networks.

Autoři: Binyamin, Sami Saeed Ragab, Mahmoud

Zdroj: Computer Systems Science & Engineering. 2023, Vol. 47 Issue 1, p105-119. 15p.

Témata: Cognitive radio, Wireless sensor networks, Algorithms, Structural optimization, Hierarchical clustering (Cluster analysis)

Comparison of improved relevance vector machines for streamflow predictions.

Autoři: Adnan, Rana Muhammad Mostafa, Reham R. Dai, Hong‐Liang a další

Zdroj: Journal of Forecasting. Jan2024, Vol. 43 Issue 1, p159-181. 23p.

Témata: STREAMFLOW, OPTIMIZATION algorithms, PARTICLE swarm optimization, METAHEURISTIC algorithms, STREAM measurements

A hybrid path finder-based vortex search algorithm for optimal energy-efficient node placing and routing in UWSN

Autoři: Haewon Byeon Santosh Kumar Divya Mahajan a další

Zdroj: Results in Control and Optimization, Vol 14, Iss , Pp 100379- (2024)

Témata: Hybrid path finder, Vortex search, Improved dwarf mongoose optimization, Underwater WSN, Applied mathematics. Quantitative methods, T57-57.97

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666720724000092; https://doaj.org/toc/2666-7207

Přístupová URL adresa: https://doaj.org/article/b10404fb5956455d927ed6bc295f9eec

Handling imbalanced data in intrusion detection using time weighted Adaboost support vector machine classifier and crossover boosted Dwarf Mongoose Optimization algorithm.

Autoři: Chandrasekaran, Hemalatha Murugesan, Kanipriya Mana, Suja Cherukullapurath a další

Zdroj: Applied Soft Computing. Dec2024:Part B, Vol. 167, pN.PAG-N.PAG. 1p.

Témata: Optimization algorithms, Support vector machines, Time complexity, Feature selection, Principal components analysis, Intrusion detection systems (Computer security)

Early detection of brain tumors: Harnessing the power of GRU networks and hybrid dwarf mongoose optimization algorithm.

Autoři: Yang, Yuxia Chaoluomeng Razmjooy, Navid

Zdroj: Biomedical Signal Processing & Control. May2024, Vol. 91, pN.PAG-N.PAG. 1p.

Témata: Optimization algorithms, Brain tumors, Cancer diagnosis, Mongooses, Recurrent neural networks, Deep learning