Results 61 to 70 of about 4,989 (215)

Hybrid ANN‐Based Modeling and Optimization of Drilling Performance in Basalt Fiber Composites

Engineering Reports, Volume 8, Issue 3, March 2026.
This study optimizes drilling of woven basalt fiber–epoxy laminates using RSM and ANN–ABC models. Spindle speed, feed rate, and laminate thickness were analyzed for torque and delamination, identifying optimal conditions (1200 rpm, 0.1 mm/rev) for sustainable machining performance.
Solairaju Jothi Arunachalam, R. Saravanan, Sathish Thanikodi, G. Vinuja, A. Johnson Santhosh   +4 more
wiley   +1 more source

The Artificial Bee Colony (ABC) Algorithm for Estimating Parameter of Epidemic Influenza Model

The Journal of Experimental Life Sciences, 2020
The Artificial Bee Colony (ABC) is one of the stochastic algorithms that can be applied to solve many real-world optimization problems. In this paper, The ABC algorithm was used to estimate the parameter of the epidemic influenza model. This model consists of a differential system represented by variations of Susceptible (S), Exposed (E), Recovered (R),
Ririn Nirmalasari, Agus Suryanto, Syaiful Anam   +2 more
openaire   +3 more sources

Assessment of Voltage Unbalance and Power Losses in Distribution Network Integrated With PVs and EV Charging Stations

Energy Science &Engineering, Volume 14, Issue 3, Page 1131-1147, March 2026.
ABSTRACT Unequal load distribution in three‐phase power distribution networks leads to voltage unbalance and decreased network efficiency. Integration of photovoltaics (PVs) and electric vehicle charging stations (EVCSs) into such networks is a challenging task as their penetration affects the power quality of the system.
Maaz Ahmad, Aamir Nawaz, Rahmat Ullah, Ehtasham Mustafa, Abdelfatah Ali   +4 more
wiley   +1 more source

Adaptive Exploration Artificial Bee Colony for Mathematical Optimization

AI
The artificial bee colony (ABC) algorithm is a famous swarm intelligence method utilized across various disciplines due to its robustness. However, it exhibits limitations in exploration mechanisms, particularly in high-dimensional or complex landscapes.
Shaymaa Alsamia, Edina Koch, Hazim Albedran, Richard Ray   +3 more
doaj   +1 more source

From Membrane Composition to Antimicrobial Strategies: Experimental and Computational Approaches to AMP Design and Selectivity

Small, Volume 22, Issue 16, 17 March 2026.
Antimicrobial peptides (AMPs) are promising candidates for next‐generation antibiotics, acting through mechanisms such as membrane disruption and intracellular targeting. This review examines how variations in bacterial membrane composition critically influence AMP activity.
Paolo Rossetti, Marius F.W. Trollmann, Christina Wichmann, Thomas Gutsmann, Christian Eggeling, Rainer A. Böckmann   +5 more
wiley   +1 more source

Artificial Bee Colony (ABC) algorithm and its use in digital image processing

Inteligencia Artificial, 2015
Classical methods often face great difficulties in solving image processing problems in images containing noise and distortions. Under such conditions, the use of bio-inspired optimization approaches has been extended. This paper explores the use of the Artificial Bee Colony (ABC) algorithm for digital image processing seen as an optimization problem ...
openaire   +3 more sources

Enhanced constrained artificial bee colony algorithm for optimization problems

, 2017
Artificial Bee Colony (ABC) algorithm is a relatively new swarm intelligence algorithm that has attracted great deal of attention from researchers in recent years with the advantage of less control parameters and strong global optimization ability ...
Babaeizadeh, Soudeh, Ahmad, Rohanin
core  

Intelligent decision-making for mine airflow on demand based on the improved artificial bee colony algorithm

Gong-kuang zidonghua
To address the issue of slow convergence speed in solving the unconstrained optimization mathematical model of mine airflow control using existing metaheuristic algorithms, an intelligent decision-making method for mine airflow on demand based on an ...
ZHANG Lang, LEI Shuang, LI Wei, LIU Yanqing   +3 more
doaj   +1 more source

Dynamic Memory‐Augmented Whale Optimization Algorithm (DMA‐WOA) as Feature Descriptor for Polycystic Ovary Syndrome Detection

Applied AI Letters, Volume 7, Issue 1, February 2026.
Proposed approach for this study. ABSTRACT This study introduces a dynamically memory‐adjusted whale optimization algorithm (DMA‐WOA) for feature selection in polycystic ovary syndrome (PCOS) diagnosis. To overcome the standard WOA's limitations in balancing exploration and exploitation, DMA‐WOA incorporated adaptive memory control to improve ...
Daniel Kwame Amissah, Leonard Mensah Boante, Solomon Mensah, Ebenezer Owusu, Justice Kwame Appati   +4 more
wiley   +1 more source

Impact of Feature Engineering on Machine Learning Models for Heart Disease Prediction Across Multiple Data Sources

Engineering Reports, Volume 8, Issue 2, February 2026.
Feature engineering increases machine learning models' effectiveness for predicting cardiac disease across a wide range of datasets. This study focuses on critical engineering characteristics and their influence on model accuracy, emphasizing the significance of data preprocessing in generating dependable, cross‐source predictive healthcare solutions ...
Debashish Chandra Shil, Md. Rafiqul Islam, Saurav Chandra Das, Uzzal Kumar Acharjee, Md. Manowarul Islam, Mahir Mahbub   +5 more
wiley   +1 more source