Results 101 to 110 of about 2,430 (215)

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

A Novel Hybrid Recruit Simulated Annealing and Rat Swarm Optimization Algorithm for Permutation Flow Shop Scheduling

Engineering Reports, Volume 8, Issue 4, April 2026.
Rat swarm position update mechanism in HRSA‐RSO, illustrating the collective exploration behavior around the prey target (A*, B*). ABSTRACT The permutation flow shop scheduling problem (PFSSP) is a classical NP‐hard problem that aims to determine an optimal job sequence across machines to minimize makespan.
Mourad Mzili, Mouna Torki, Toufik Mzili, Mohammed Benzakour Amine, Nebojsa Bacanin, Momina Shaheen   +5 more
wiley   +1 more source

Enhanced Supplier Clustering Using an Improved Arithmetic Optimizer Algorithm

Engineering Proceedings
This paper presents a novel approach to supplier clustering by utilizing the Arithmetic Optimizer Algorithm (AOA), addressing the complex challenge of supplier segmentation in modern supply chain management.
Asmaa Akiki, Kaoutar Douaioui, Achraf Touil, Mustapha Ahlaqqach, Mhammed El Bakkali   +4 more
doaj   +1 more source

Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey

CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 297-315, April 2026.
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu, Shihao Zhao, Yuanjun Guo, Linxin Zhang, Zhile Yang   +4 more
wiley   +1 more source

A hybrid Harris Hawks Optimization with Support Vector Regression for air quality forecasting

Scientific Reports
This paper proposes a hybridized model for air quality forecasting that combines the Support Vector Regression (SVR) method with Harris Hawks Optimization (HHO) called (HHO-SVR).
Essam H. Houssein, Meran Mohamed, Eman M. G. Younis, Waleed M. Mohamed   +3 more
doaj   +1 more source

Performance Analysis of Metaheuristic Optimization Algorithms in Estimating the Interfacial Heat Transfer Coefficient on Directional Solidification

, 2020
In this paper is proposed an evaluation of ten metaheuristic optimization algorithms applied on the inverse optimization of the Interfacial Heat Transfer Coefficient (IHTC) coupled on the solidification phenomenon. It was considered an upward directional
Lins, Erb F., Oliveira, Edilma P., Stieven, Gianfranco de M.   +2 more
core   +1 more source

A new hybrid Harris hawks optimization (HHO) and particle swarm optimization (PSO) algorithm for the design of castellated beams [PDF]

, 2023
‪Mohammadreza Mashayekhi, S. Mosayyebi
openalex   +1 more source

Enhanced adaptive-convergence in Harris’ hawks optimization algorithm

Artificial Intelligence Review
AbstractThis paper presents a novel enhanced adaptive-convergence in Harris’ hawks optimization algorithm (EAHHO). In EAHHO, considering that Harris’ hawks will adopt different perching strategies and chasing styles according to the value of the escaping energy parameter E, nonlinear adaptive-convergence factor a is designed and adjusted to enhance the
Mingxuan Mao, Diyu Gui
openaire   +1 more source

Role of a Deep‐Learning Based Convolutional Neural Network Model for Real‐Time Ventricular Tachycardia Alarm Classification

Journal of Cardiovascular Electrophysiology, Volume 37, Issue 4, Page 705-713, April 2026.
Our manuscript discusses the role of a Convolutional Neural network based Deep‐learning model for the classification of ventricular tachycardia alarms. Our algorithm based on input from multiple raw waveform inputs, including electrocardiogram leads, photoplethysmogram, and arterial blood pressure signals achieved a good degree of accuracy and ...
Unmesh Khanolkar, Ashish Yadav, Avdhesh Mann, Scott Pappada, Abhishek Deshmukh, Abhishek Maan   +5 more
wiley   +1 more source

Optimized Fractional-Order Extended Kalman Filtering for IMU-Based Attitude Estimation Using the Hippopotamus Algorithm

Sensors
The performance of the Fractional-order Extended Kalman Filter (FEKF) is often constrained by the manual tuning of its fractional-order parameter. This paper proposes HO-FEKF, a novel framework that integrates the Hippopotamus Optimization (HO) algorithm
Xiaoping Yang, Gangwang Lin, Jianqi Wang, Lieping Zhang, Jianhui Wen, Xiaoxia Li   +5 more
doaj   +1 more source