Results 71 to 80 of about 22,927 (228)
Black Hole Artificial Bee Colony Algorithm
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
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
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
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
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
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
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.
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
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
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

