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 …

Abstract Feature Subset Selection (FSS) is an NP-hard problem to remove redundant and
irrelevant features particularly from medical data, and it can be effectively addressed by …

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 …

This paper innovatively proposes the Black Kite Algorithm (BKA), a meta-heuristic
optimization algorithm inspired by the migratory and predatory behavior of the black kite …

The advancement of Photovoltaic (PV) systems hinges on the precise optimization of their
parameters. Among the numerous optimization techniques, the effectiveness of each often …

The paper addresses the limitations of the Moth-Flame Optimization (MFO) algorithm, a meta-
heuristic used to solve optimization problems. The MFO algorithm, which employs moths' …

High-dimensional optimization presents a novel challenge within the realm of intelligent
computing, necessitating innovative approaches. When tackling high-dimensional spaces …

In intelligent traffic control systems, the features extracted by loop detectors are insufficient to
accurately impute missing data. Most of the existing imputation methods use only these …

Abstract The Internet of Things (IoT) shapes an organization of objects that can interface and
share information with different devices using sensors, computer programs, and other …