A Hybrid Feature Selection Method Using an Improved Binary Butterfly Optimization Algorithm and Adaptive β–Hill Climbing

The Butterfly Optimization Algorithm (BOA) is a recently proposed nature-inspired metaheuristic algorithm mimicking the food-foraging behavior of butterflies. Its abilities include simplicity, good convergence rate towards local optima, and avoiding the local optima stagnation problem to some extent...

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Bibliographic Details
Published in:IEEE Access
Main Author: Anurag Tiwari
Format: Article
Language:English
Published: IEEE 2023-01-01
Subjects:
Butterfly optimization algorithm
classification accuracy
convergence rate
feature selection
local optima
transfer function
Online Access:https://ieeexplore.ieee.org/document/10121429/

Internet

https://ieeexplore.ieee.org/document/10121429/

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