Results 71 to 80 of about 22,927 (228)

Black Hole Artificial Bee Colony Algorithm

open access: yes, 2016
Artificial bee colony (ABC) is an efficient methodology to solve optimization problems. Here, in this article a modified variant of ABC, namely Black Hole ABC algorithm (BHABC) is proposed which is based on the natural space black hole (BH) phenomenon.
Nirmala Sharma   +3 more
openaire   +3 more sources

The Two-Echelon Unmanned Ground Vehicle Routing Problem: Extreme-Weather Goods Distribution as a Case Study

open access: yesBiomimetics
In extreme weather conditions, the use of unmanned ground vehicles (UGVs) for material distribution enhances safety. We introduce a two-echelon unmanned ground vehicle routing problem (2E-UGVRP) and proposes a hybrid Artificial Bee Colony–Wild Horse ...
Chuncheng Fang, Yanguang Cai, Yanlin Wu
doaj   +1 more source

Neglected Floral Visitors in the Galapagos Islands: Understanding the Structure of Ant‐Flower Interaction Networks

open access: yesJournal of Applied Entomology, EarlyView.
ABSTRACT Ant‐flower interactions are prevalent in many ecosystems, yet their ecological significance remains poorly understood, particularly in isolated systems like the Galapagos Islands, where unique biotic assemblages create distinct interaction networks.
Alejandro Mieles   +2 more
wiley   +1 more source

Recent Advances in Collective Behaviors of Micro/Nanomotor Swarms

open access: yesAdvanced Materials, Volume 38, Issue 9, 12 February 2026.
This review describes the driving forces behind collective motion, explores the self‐organization of micro/nano swarms across zero‐dimensional (0D), one‐dimensional (1D), two‐dimensional (2D), and three‐dimensional (3D) spaces, and highlights their potential in drug delivery, environmental monitoring, and smart devices.
Siwen Sun   +4 more
wiley   +1 more source

Multi-robot Collaborative Planning based on Optimized Artificial Bee Colony Algorithm

open access: yesJixie chuandong, 2017
To improve property of artificial bee colony algorithm in multi-robot path planning,the optimized artificial bee colony algorithm is proposed. A new environment modeling method is given,which makes barrier border smooth.
Zhang Lin   +3 more
doaj  

Intelligent Image Segment for Material Composition Detection

open access: yesMATEC Web of Conferences, 2017
In the process of material composition detection, the image analysis is an inevitable problem. Multilevel thresholding based OTSU method is one of the most popular image segmentation techniques.
Liang Xiaodan   +3 more
doaj   +1 more source

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

open access: yesApplied 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   +4 more
wiley   +1 more source

A novel artificial bee colony based clustering algorithm for categorical data.

open access: yesPLoS ONE, 2015
Data with categorical attributes are ubiquitous in the real world. However, existing partitional clustering algorithms for categorical data are prone to fall into local optima. To address this issue, in this paper we propose a novel clustering algorithm,
Jinchao Ji   +4 more
doaj   +1 more source

Frequency‐Domain Subspace Identification for Noninvasive Transformer Winding Parameter Estimation and Fault Diagnostics

open access: yesInternational Journal of Circuit Theory and Applications, Volume 54, Issue 2, Page 658-677, February 2026.
Noninvasive frequency‐domain method estimates transformer winding parameters from terminal measurements, eliminating the need for design data. ABSTRACT A novel frequency‐domain subspace identification method enables precise estimation of transformer winding ladder network parameters directly from terminal measurements.
K. Lakshmi Prasanna   +3 more
wiley   +1 more source

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

open access: yesEngineering 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   +5 more
wiley   +1 more source

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