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

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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Bibliographic Details
Main Authors: Sankalap Arora, Harpreet Singh, Manik Sharma, Sanjeev Sharma, Priyanka Anand
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Grey wolf optimizer
crow search algorithm
hybrid algorithm
function optimization
feature selection
Online Access:https://ieeexplore.ieee.org/document/8643348/

Internet

https://ieeexplore.ieee.org/document/8643348/

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