Abstract Whale Optimization Algorithm (WOA) is an optimization algorithm developed by
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …

Whale optimization algorithm (WOA) is a recently developed swarm-based meta-heuristic
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …

The significant growth of modern technology and smart systems has left a massive
production of big data. Not only are the dimensional problems that face the big data, but …

This research, a hybrid model to feature selection for classification of different heart disease
(HD) dataset is introduced. At first and, a filter method has been utilized to select the relevant …

Feature selection (FS) can eliminate many redundant, irrelevant, and noisy features in high-
dimensional data to improve machine learning or data mining models' prediction …

Abstract Machine learning and data mining rely on feature selection to reduce the dimension
of data and increase the performance of algorithms. As a result of such a large search …

Whale Optimization Algorithm (WOA) proposed by Seyedali Mirjalili and Andrew Lewis in
2016 is popular and powerful metaheuristic algorithm to search the global solution of …

Author gender detection (AGD) is a serious and crucial issue in Internet security
applications, in particular in email, messenger, and social network communications …

Our-days, with the significant number of connected devices, data stored has grown
significantly. The exploitation of the information stored in it for decision-making has become …

Abstract Whale Optimization Algorithm (WOA) is an emerging metaheuristics that uses
humpback whale's bubble-net hunting scheme to solve challenging optimization problems …