Search Results - Time-varying binary salp swarm algorithm

Ensemble Classifier Design Based on Perturbation Binary Salp Swarm Algorithm for Classification.

Authors: Xuhui Zhu Pingfan Xia Qizhi He et al.

Source: Computer Modeling in Engineering & Sciences (CMES); 2023, Vol. 135 Issue 1, p653-671, 19p

Subject Terms: CLASSIFICATION algorithms, MACHINE learning, PARTICLE swarm optimization, DESIGN techniques

Classifying collisions in road accidents using XGBOOST, CATBOOST and SALP SWARM based optimization algorithms.

Authors: Altaf, Insha Kaul, Ajay

Source: Multimedia Tools & Applications; Apr2024, Vol. 83 Issue 13, p38387-38410, 24p

BHHO-TVS: A Binary Harris Hawks Optimizer with Time-Varying Scheme for Solving Data Classification Problems.

Authors: Chantar, Hamouda Thaher, Thaer Turabieh, Hamza et al.

Source: Applied Sciences (2076-3417); Jul2021, Vol. 11 Issue 14, p6516, 23p

Subject Terms: FEATURE selection, PARTICLE swarm optimization, ALGORITHMS, SEARCH algorithms, CLASSIFICATION

Q2HO-MFTV: A binary hippopotamus optimization algorithm for feature selection with a brief review of binary optimization.

Authors: Mehrabi Hashjin, Nastaran Amiri, Mohammad Hussein Beheshti, Amin et al.

Source: Knowledge-Based Systems. Oct2025, Vol. 327, pN.PAG-N.PAG. 1p.

Subject Terms: *FEATURE selection, *CLASSIFICATION, *QUANTUM computing, *METAHEURISTIC algorithms, *MATHEMATICAL optimization, *TRANSFER functions

Time-Varying Hierarchical Chains of Salps with Random Weight Networks for Feature Selection

Authors: Hossam Faris Ala Al-Zoubi Majdi Mafarja et al.

Subject Terms: Artificial intelligence not elsewhere classified, Feature Selection, Salp Swarm, Algorithm, Optimization, Artificial Intelligence and Image Processing

Relation: https://figshare.com/articles/journal_contribution/Time-Varying_Hierarchical_Chains_of_Salps_with_Random_Weight_Networks_for_Feature_Selection/11351159

Availability: https://doi.org/10.25905/5df05c6a78196

A Modified U‐Shaped Transfer Function: Applied to Classify Parkinson'S Disease.

Authors: Rani Sharma, Suvita Singh, Birmohan Kaur, Manpreet

Source: Computational Intelligence. Apr2025, Vol. 41 Issue 2, p1-20. 20p.

Subject Terms: OPTIMIZATION algorithms, PARKINSON'S disease, TRANSFER functions, FEATURE selection, NOSOLOGY, METAHEURISTIC algorithms

S-shaped and V-shaped gaining-sharing knowledge-based algorithm for feature selection.

Authors: Agrawal, Prachi Ganesh, Talari Oliva, Diego et al.

Source: Applied Intelligence; Jan2022, Vol. 52 Issue 1, p81-112, 32p

Subject Terms: METAHEURISTIC algorithms, FEATURE selection, PARTICLE swarm optimization, ALGORITHMS, TRANSFER functions, DIFFERENTIAL evolution

Optimal reservoir operation using the improved multi-step-ahead time-varying hedging rule under climate and land-use changes.

Authors: Thiha, Soe Shamseldin, Asaad Y. Melville, Bruce W.

Source: Hydrological Sciences Journal/Journal des Sciences Hydrologiques; Jun2023, Vol. 68 Issue 8, p1139-1161, 23p

Subject Terms: CLIMATE change, METAHEURISTIC algorithms, WATER power

Coherent Feature Extraction with Swarm Intelligence Based Hybrid Adaboost Weighted ELM Classification for Snoring Sound Classification.

Authors: Prabhakar, Sunil Kumar Rajaguru, Harikumar Won, Dong-Ok

Source: Diagnostics (2075-4418); Sep2024, Vol. 14 Issue 17, p1857, 29p

Subject Terms: SWARM intelligence, MACHINE learning, FEATURE selection, FEATURE extraction, DISCRETE wavelet transforms

A Smart Approach for Imbalanced Data Using Data Sampling and Binary Harris Hawks Optimisation.

Authors: Bulbul, Raed Sahli, Nabil Jabeur, Nafaa

Source: African Journal of Biomedical Research; 2025 Supplement, Vol. 28, p738-746, 9p

Subject Terms: MACHINE learning, FEATURE selection, OPTIMIZATION algorithms, ALGORITHMS, STATISTICAL sampling, DATA quality, DATA augmentation

BHHO-TVS: A Binary Harris Hawks Optimizer with Time-Varying Scheme for Solving Data Classification Problems

Authors: Hamouda Chantar Thaer Thaher Hamza Turabieh et al.

Source: Applied Sciences, Vol 11, Iss 6516, p 6516 (2021)

Subject Terms: Harris Hawks Optimizer, HHO, transfer functions, time-varying, feature selection, metaheuristics, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/11/14/6516; https://doaj.org/toc/2076-3417; https://doaj.org/article/c86897b7aac1406eb681d903d865a538

Availability: https://doi.org/10.3390/app11146516
https://doaj.org/article/c86897b7aac1406eb681d903d865a538

Binary atom search optimisation approaches for feature selection.

Authors: Too, Jingwei Rahim Abdullah, Abdul

Source: Connection Science; Dec2020, Vol. 32 Issue 4, p406-430, 25p

Subject Terms: ALGORITHMS, METAHEURISTIC algorithms, DIFFERENTIAL evolution, ATOMS, MACHINE learning

Time-varying hierarchical chains of salps with random weight networks for feature selection.

Authors: Faris, Hossam Heidari, Ali Asghar Al-Zoubi, Ala' M. et al.

Source: Expert Systems with Applications. Feb2020, Vol. 140, pN.PAG-N.PAG. 1p.

Subject Terms: *FEATURE selection, *TIME-varying networks, *PROCESS optimization, *MACHINE learning, *PARTICLE swarm optimization, *EVOLUTIONARY algorithms, *TARDINESS

Monthly Runoff Forecasting Using Particle Swarm Optimization Coupled with Flower Pollination Algorithm-Based Deep Belief Networks: A Case Study in the Yalong River Basin.

Authors: Yue, Zhaoxin Liu, Huaizhi Zhou, Hui

Source: Water (20734441); Aug2023, Vol. 15 Issue 15, p2704, 25p

Subject Terms: DROUGHT forecasting, SWARM intelligence, PARTICLE swarm optimization, WATERSHEDS, RUNOFF, STANDARD deviations, POLLINATION

Predicting Hydropower Production Using Deep Learning CNN-ANN Hybridized with Gaussian Process Regression and Salp Algorithm.

Authors: Ehtearm, Mohammad Ghayoumi Zadeh, Hossein Seifi, Akram et al.

Source: Water Resources Management; Jul2023, Vol. 37 Issue 9, p3671-3697, 27p

Subject Terms: KRIGING, DEEP learning, SHORT-term memory, LONG-term memory, STANDARD deviations, WATER power

An RBF neural network based on improved black widow optimization algorithm for classification and regression problems.

Authors: Hui Liu Guo Zhou Yongquan Zhou et al.

Source: Frontiers in Neuroinformatics; 1/10/2023, Vol. 16, p1-15, 15p

Subject Terms: MATHEMATICAL optimization, CLASSIFICATION algorithms, RADIAL basis functions, HUMAN fingerprints, SYSTEM identification, NONLINEAR functions

Epileptic Seizure Detection Using Machine Learning: A Systematic Review and Meta-Analysis.

Authors: Bai, Lin Litscher, Gerhard Li, Xiaoning

Source: Brain Sciences (2076-3425); Jun2025, Vol. 15 Issue 6, p634, 16p

Subject Terms: MACHINE learning, EPILEPSY, DEEP learning, ARTIFICIAL intelligence, DIAGNOSIS of epilepsy

Attention-guided deep learning–machine learning and statistical feature fusion for interpretable mental workload classification from EEG.

Authors: Majumder, Sukanta Patra, Dibyendu Gorai, Subhajit et al.

Source: Cognitive Neurodynamics; 12/6/2025, Vol. 20 Issue 1, p1-23, 23p

CDMO: Chaotic Dwarf Mongoose Optimization Algorithm for feature selection.

Authors: Abdelrazek M Abd Elaziz M El-Baz AH

Source: Scientific reports [Sci Rep] 2024 Jan 06; Vol. 14 (1), pp. 701. Date of Electronic Publication: 2024 Jan 06.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Comprehensive framework for smart residential demand side management with electric vehicle integration and advanced optimization techniques.

Authors: Panda S Samanta IS Sahoo B et al.

Source: Scientific reports [Sci Rep] 2025 Mar 22; Vol. 15 (1), pp. 9948. Date of Electronic Publication: 2025 Mar 22.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE