Results 61 to 70 of about 11,354 (208)

Optimization of Benchmark Functions Using Artificial Bee Colony (ABC) Algorithm

IOSR Journal of Engineering, 2013
The Artificial Bee Colony (ABC) algorithm is one of most popular stochastic, swarm based algorithm proposed by Karaboga in 2005 inspired from the foraging behaviour of honey bees. ABC has been applied to solve several problems in various fields and also many researchers have attempted to improve ABC's performance by making some modifications.
openaire   +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

Enhancing Artificial Bee Colony Algorithm with Self-Adaptive Searching Strategy and Artificial Immune Network Operators for Global Optimization

The Scientific World Journal, 2014
Artificial bee colony (ABC) algorithm, inspired by the intelligent foraging behavior of honey bees, was proposed by Karaboga. It has been shown to be superior to some conventional intelligent algorithms such as genetic algorithm (GA), artificial colony ...
Tinggui Chen, Renbin Xiao
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

DESIGN OF PARAMETERS OPTIMIZATION FOR AUTOMOBILE SUSPENSION BASED ON ARTIFICIAL BEE COLONY ALGORITHM

Jixie qiangdu, 2018
In view of defect of selecting parameters for automotive suspension system,optimizing method of determining the parameters based on local elitist strategy（ LES） and artificial bee colony algorithm（ ABC） was proposed through integrating great local ...
ZHANG HaiTao, WANG AiGuo
doaj  

Optimizing Cybersecurity Attack Detection in Computer Networks: A Comparative Analysis of Bio-Inspired Optimization Algorithms Using the CSE-CIC-IDS 2018 Dataset

Applied Sciences
In computer network security, the escalating use of computer networks and the corresponding increase in cyberattacks have propelled Intrusion Detection Systems (IDSs) to the forefront of research in computer science.
Hadi Najafi Mohsenabad, Mehmet Ali Tut
doaj   +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

Time series predictive analysis based on hybridization of meta-heuristic algorithms [PDF]

, 2018
This paper presents a comparative study which involved five hybrid meta-heuristic methods to predict the weather five days in advance. The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial ...
Ernawan, Ferda, Kasim, Shahreen, Mustaffa, Zuriani, Rohidin, Dede, Sulaiman, Mohd Herwan   +4 more
core  

Research on Three‐Dimensional Autonomous Obstacle Avoidance Path Planning Methods for UAVs

Transactions on Emerging Telecommunications Technologies, Volume 37, Issue 2, February 2026.
This study presents a three‐dimensional autonomous obstacle‐avoidance path planning method for unmanned aerial vehicles (UAVs) based on a deep reinforcement learning (DRL)‐enhanced Mayfly Algorithm. The traditional Mayfly Algorithm suffers from issues such as random initial population generation and slow convergence.
Chong Wu, Hao Cheng, Hua Wang
wiley   +1 more source

Memetic Artificial Bee Colony Algorithm for Large-Scale Global Optimization

, 2012
Memetic computation (MC) has emerged recently as a new paradigm of efficient algorithms for solving the hardest optimization problems. On the other hand, artificial bees colony (ABC) algorithms demonstrate good performances when solving continuous and ...
Brest, Janez, Fister Jr., Iztok, Fister, Iztok, Žumer, Viljem   +3 more
core   +1 more source