Improved Binary Adaptive Wind Driven Optimization Algorithm-Based Dimensionality Reduction for Supervised Classification

•An improved Binary Adaptive Wind Driven Optimization algorithm (iBAWDO) is proposed.•Improvements include the crossover technique and Simulated Annealing (SA) algorithm.•iBAWDO is employed for wrapper feature selection in supervised classification.•iBAWDO was highly competitive, based on two popula...

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Vydáno v:	Computers & industrial engineering Ročník 167; s. 107904
Hlavní autoři:	Abd El-Mageed, Amr A., Gad, Ahmed G., Sallam, Karam M., Munasinghe, Kumudu, Abohany, Amr A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.05.2022
Témata:	Combinatorial optimization Dimensionality reduction Feature selection Machine learning Meta-heuristics Supervised classification Wind Driven Optimization algorithm (WDO) Dimensionality reduction Feature selection Wind Driven Optimization algorithm (WDO) Machine learning Combinatorial optimization Supervised classification Meta-heuristics
ISSN:	0360-8352, 1879-0550
On-line přístup:	Získat plný text
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