Hybrid Binary Dragonfly Algorithm with Simulated Annealing for Feature Selection

There are various fields are affected by the growth of data dimensionality. The major problems which are resulted from high dimensionality of data including high memory requirements, high computational cost, and low machine learning classifier performance. Therefore, proper selection of relevant fea...

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Vydané v:	SN computer science Ročník 2; číslo 4; s. 295
Hlavní autori:	Chantar, Hamouda, Tubishat, Mohammad, Essgaer, Mansour, Mirjalili, Seyedali
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Singapore Springer Singapore 01.07.2021 Springer Nature B.V
Predmet:	Accuracy Algorithms Classification Computer Imaging Computer Science Computer Systems Organization and Communication Networks Coronaviruses Data mining Data Structures and Information Theory Exploitation Feature selection Genetic algorithms Heuristic Information Systems and Communication Service Machine learning Optimization algorithms Original Research Pattern Recognition and Graphics Performance evaluation Simulated annealing Simulation Software Engineering/Programming and Operating Systems Vision Simulated annealing algorithm Feature selection Dragonfly algorithm Optimization
ISSN:	2662-995X, 2661-8907, 2661-8907
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