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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Veröffentlicht in:	IEEE access Jg. 11; S. 1
1. Verfasser:	Tiwari, Anurag
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive algorithms Butterfly Optimization Algorithm Classification Classification Accuracy Classification algorithms Convergence Convergence Rate Datasets Exploitation Feature extraction Feature Selection Heuristic methods Local Optima Metaheuristics Operators (mathematics) Optimization Optimization algorithms Optimization techniques Search problems Searching Sociology Space exploration State of the art Tradeoffs Transfer Function Transfer functions
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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