A New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection

Grey wolf optimizer (GWO) is a very efficient metaheuristic inspired by the hierarchy of the Canis lupus wolves. It has been extensively employed to a variety of practical applications. Crow search algorithm (CSA) is a recently proposed metaheuristic algorithm, which mimics the intellectual conduct...

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Veröffentlicht in:	IEEE access Jg. 7; S. 26343 - 26361
Hauptverfasser:	Arora, Sankalap, Singh, Harpreet, Sharma, Manik, Sharma, Sanjeev, Anand, Priyanka
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Computer science crow search algorithm Data acquisition Feature extraction Feature selection function optimization Genetic algorithms Grey wolf optimizer Heuristic algorithms Heuristic methods hybrid algorithm Optimization Prediction algorithms Search algorithms Search problems
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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