Optimizing artificial neural networks using LevyChaotic mapping on Wolf Pack optimization algorithm for detect driving sleepiness

Journal article

Turner, S., Jassin, S.S. and Hassan, A.K.A 2022. Optimizing artificial neural networks using LevyChaotic mapping on Wolf Pack optimization algorithm for detect driving sleepiness. Iraqi Journal of Computers, Communications, Control & Systems Engineering (IJCCCE). 22 (3), pp. 128-136. https://doi.org/10.33103/uot.ijccce.22.3.12

Publication dates
Authors	Turner, S., Jassin, S.S. and Hassan, A.K.A
Abstract	Artificial Neural Networks (ANNs) are utilized to solve a variety of problems in many domains. In this type of network, training and selecting parameters that define networks architecture play an important role in enhancing the accuracy of the network's output; Therefore, Prior to training, those parameters must be optimized. Grey Wolf Optimizer (GWO) has been considered one of the efficient developed approaches in the Swarm Intelligence area that is used to solve real-world optimization problems. However, GWO still faces a problem of the slump in local optimums in some places due to insufficient diversity. This paper proposes a novel algorithm Levy Flight- Chaotic Chen mapping on Wolf Pack Algorithm in Neural Network. It efficiently exploits the search regions to detect driving sleepiness and balance the exploration and exploitation operators, which are considered implied features of any stochastic search algorithm. Due to the lack of dataset availability, a dataset of 15 participants has been collected from scratch to evaluate the proposed algorithm's performance. The results show that the proposed algorithm achieves an accuracy of 99.3%.
Keywords	Electrooculography; Drowsiness; Neural network (NN); Grey Wolf Optimizer (GWO); Levy flight distribution
Year	2022
Journal	Iraqi Journal of Computers, Communications, Control & Systems Engineering (IJCCCE)
Journal citation	22 (3), pp. 128-136
Publisher	University of Technology, Iraq
ISSN	2617-3352
Digital Object Identifier (DOI)	https://doi.org/10.33103/uot.ijccce.22.3.12
Official URL	https://ijccce.uotechnology.edu.iq/article_176802.html
Online	Sep 2022
Publication process dates
Deposited	09 Feb 2023
Publisher's version	IJCCCE_Volume 22_Issue 3_Pages 128-136.pdf License All rights reserved File Access Level Open
Supplemental file	File Access Level Open
Output status	Published
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