[HTML][HTML] Recent advances in butterfly optimization algorithm, its versions and applications

SN Makhadmeh, MA Al-Betar, AK Abasi… - … Methods in Engineering, 2023 - Springer
The butterfly optimization algorithm (BOA) is a recent successful metaheuristic swarm-based
optimization algorithm. The BOA has attracted scholars' attention due to its extraordinary …

Dynamic butterfly optimization algorithm for feature selection

M Tubishat, M Alswaitti, S Mirjalili, MA Al-Garadi… - IEEE …, 2020 - ieeexplore.ieee.org
Feature selection represents an essential pre-processing step for a wide range of Machine
Learning approaches. Datasets typically contain irrelevant features that may negatively …

Hybrid metaheuristic algorithm using butterfly and flower pollination base on mutualism mechanism for global optimization problems

Z Wang, Q Luo, Y Zhou - Engineering with Computers, 2021 - Springer
The butterfly optimization algorithm (BOA) is a new metaheuristic algorithm that is inspired
from food foraging behavior of the butterflies. Because of its simplicity and effectiveness, the …

Wavelet neural networks based solutions for elliptic partial differential equations with improved butterfly optimization algorithm training

LS Tan, Z Zainuddin, P Ong - Applied Soft Computing, 2020 - Elsevier
In this study, a machine learning approach based on the unsupervised version of wavelet
neural networks (WNNs) is used to solve two-dimensional elliptic partial differential …

A flexible operation and sizing of battery energy storage system based on butterfly optimization algorithm

BO Alawode, UT Salman, M Khalid - Electronics, 2021 - mdpi.com
There is a surge in the total energy demand of the world due to the increase in the world's
population and the ever-increasing human dependence on technology. Conventional non …

Heart Disease Identification Based on Butterfly Optimization and Machine Learning

M Asrar, J Bawazir, SI Khan… - … Conference on Smart …, 2023 - ieeexplore.ieee.org
This paper aims to make use of The Physionet Challenge 2016 collection of normal and
abnormal heart sound recordings that were classified by automated identification of PCG …