Results 71 to 80 of about 2,156 (195)

Harris Hawks Algorithm Incorporating Tuna Swarm Algorithm and Differential Variance Strategy [PDF]

Because of the low convergence accuracy of the basic Harris Hawks algorithm, which quickly falls into the local optimal, a Harris Hawks algorithm combining tuna swarm algorithm and differential mutation strategy (TDHHO) is proposed.
Xiaohan XU, Jin LIU, Hongxin HUANG, Jun LI, Dawei ZHANG, Haima YANG, Heqing ZHENG   +6 more
core   +1 more source

Hybrid Osprey‐Salp Swarm Optimization Algorithm for Single and Multiobjective Optimal Power Flow in Smart Grids With Renewable Energy Integration

Energy Science &Engineering, Volume 14, Issue 7, Page 3346-3387, July 2026.
The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Gang Xiong, Krzysztof Ejsmont, Xiaoli Liu   +5 more
wiley   +1 more source

Nature‐Inspired Meta‐Heuristic Optimization Algorithms Integrated With Ensemble Machine Learning Techniques for Particulate Matter 2.5 Modeling

Earth and Space Science, Volume 13, Issue 7, July 2026.
Abstract Particulate Matter 2.5 is a major air pollutant that can deeply penetrate the respiratory system and enter the bloodstream when inhaled. The current study employs the use of both Nature inspired Meta‐heuristic optimization algorithms and Ensemble Machine learning techniques for the estimation of Particulate Matter 2.5 value using Sulfur ...
Abdullahi G. Usman, Sagiru Mati, Jamilu Usman, Saidur R. Chowdhury, Syed Masiur Rahman, Saad Sh. Sammen, Sani I. Abba, Ali Salem   +7 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, Volume 5, Issue 2, Page 446-464, June 2026.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

From Tweets to Tyranny: Exploring the Symmetry Between State and Social Media Censorship of Speech

Journal of Social Philosophy, EarlyView.
Bhanuraj Kashyap, Paul Formosa
wiley   +1 more source

Optimized Parameter Extraction in Triple Diode Solar PV Models Using Kookaburra‐based Dwarf Mongoose Approach

Energy Science &Engineering, Volume 14, Issue 6, Page 2996-3012, June 2026.
ABSTRACT Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation.
Chappani Sankaran Sundar Ganesh, Chandrasekaran Kumar, Thangavel Swaminathan Sivakumaran, Sourav Barua   +3 more
wiley   +1 more source

A novel hybrid Harris hawks-simulated annealing algorithm and RBF-based metamodel for design optimization of highway guardrails [PDF]

, 2020
In this paper, a novel hybrid optimization algorithm is introduced by hybridizing a Harris hawks optimization algorithm(HHO) and simulated annealing for the purpose of accelerating its global convergence performance and optimizing structural design ...
Sait, Sadiq, Kaen, Khon
core   +1 more source

A Coordinated Strategy of Flexible Dispatch and Fault Repair for Active Distribution Networks Towards Resilience Enhancement [PDF]

Dianli jianshe
[Objective] To address the rapid recovery and resilience demands of MV/LV distribution networks in extreme disaster environments， a coordinated strategy integrating the flexible dispatch of active distribution networks and fault repair is proposed ...
LIU Wenze, CHEN Keyao, CHENG Runting, YI Yingqi, LU Hongxin, ZHANG Yongjun
doaj   +1 more source

Clinically Deployable Handwriting Biomarkers of Parkinson's Disease via Multiscale Attention and Bayesian–Genetic Optimization

Brain and Behavior, Volume 16, Issue 5, May 2026.
Tablet‐based handwriting tasks (spiral, meander, and wave) are transformed into unified images and analyzed using PD‐MGMA‐DSCNN, a lightweight multiscale gated attention network. Bayesian–genetic optimization improves performance, while SHAP attribution maps provide interpretable handwriting biomarkers for Parkinson's disease screening.
Khosro Rezaee, Ali Khalili Fakhrabadi
wiley   +1 more source

Enhancing spam detection using Harris Hawks optimization algorithm [PDF]

This paper employs machine learning (ML) algorithms to identify and classify spam emails. The Harris Hawks optimization (HHO) algorithm can detect the crucial features that distinguish spam from ham emails.
M. Abualhaj, Mosleh; Al-Ahliyya Amman University, M. Alsaaidah, Adeeb; Al-Ahliyya Amman University, Adel Abu-Shareha, Ahmad; Al-Ahliyya Amman University, Anbar, Mohammed; Universiti Sains Malaysia (USM), Nabil Alkhatib, Sumaya; Al-Ahliyya Amman University   +4 more
core   +2 more sources