Artificial bee colony algorithm based on information learning

WF Gao, LL Huang, SY Liu… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Inspired by the fact that the division of labor and cooperation play extremely important roles
in the human history development, this paper develops a novel artificial bee colony …

Analog circuit sizing via swarm intelligence

RA Vural, T Yildirim - AEU-International journal of electronics and …, 2012 - Elsevier
Together with the increase in electronic circuit complexity, the design and optimization
processes have to be automated with high accuracy. Predicting and improving the design …

An improved artificial bee colony algorithm with its application

H Gao, Y Shi, CM Pun, S Kwong - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The artificial bee colony is a popular evolutionary algorithm that exhibits strong exploration
ability but slow convergence. This paper proposes two new updating equations to boost the …

SpO2 based sleep apnea detection using deep learning

SS Mostafa, F Mendonça… - 2017 IEEE 21st …, 2017 - ieeexplore.ieee.org
In a classical classification process, automatic sleep apnea detection involves creating and
selecting the features, using prior knowledge, and apply them to a classifier. A different …

Bare bones artificial bee colony algorithm with parameter adaptation and fitness-based neighborhood

W Gao, FTS Chan, L Huang, S Liu - Information Sciences, 2015 - Elsevier
Concerning this issue that the solution search equation of artificial bee colony algorithm
(ABC) does well in exploration but badly in exploitation, a bare bones ABC with parameter …

Heap-based optimizer embedded with search strategies applied to high-order analog filter designs: a comparative study with up-to-date metaheuristics

YÇ Kuyu, F Vatansever - Neural Computing and Applications, 2023 - Springer
Abstract Heap-Based Optimizer (HBO) is one of the recently proposed metaheuristic
algorithms inspired by the corporate rank hierarchy. In this study, opposition and Cauchy …