Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …

A growing trend of introducing new metaheuristic algorithms and their improvements is
observed with almost the same inherited weaknesses. The main reason is that a few studies …

The increasing trend toward using the Internet of Things (IoT) increased the number of
intrusions and intruders annually. Hence, the integration, confidentiality, and access to …

Nowadays, meta-heuristic algorithms are attracting widespread interest in solving high-
dimensional nonlinear optimization problems. In this paper, a COVID-19 prevention-inspired …

The Phasmatodea Population Evolution (PPE) algorithm, inspired by the evolution of the
phasmatodea population, is a recently proposed meta-heuristic algorithm that has been …

Feature selection is an NP-hard problem to remove irrelevant and redundant features with
no predictive information to increase the performance of machine learning algorithms. Many …

In this work, we propose a real proportional-integral-derivative plus second-order derivative
(PIDD2) controller as an efficient controller for vehicle cruise control systems to address the …

In many disciplines, including pattern recognition, data mining, machine learning, image
analysis, and bioinformatics, data clustering is a common analytical tool for data statistics …

Artificial neural network (ANN) is an information processing paradigm that loosely models
the thinking patterns of the human brain with specifications such as real-time learning, self …

Monkey king evolution (MKE) is a population-based differential evolutionary algorithm in
which the single evolution strategy and the control parameter affect the convergence and the …