Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization

Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization

Swarm intelligence techniques have been created to respond to theoretical and practical global optimization problems. This paper puts forward an enhanced version of the firefly algorithm that corrects the acknowledged drawbacks of the original method, by an explicit exploration mechanism and a chaot...

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Bibliographic Details
Main Authors:	Nebojsa Bacanin, Ruxandra Stoean, Miodrag Zivkovic, Aleksandar Petrovic, Tarik A. Rashid, Timea Bezdan
Format:	Article
Language:	English
Published:	MDPI AG 2021-10-01
Series:	Mathematics
Subjects:	convolutional neural networks dropout regularization metaheuristics swarm intelligence optimization
Online Access:	https://www.mdpi.com/2227-7390/9/21/2705

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