Metaheuristic algorithms are widely used in various fields of optimization engineering.
These algorithms have become popular because of their ability to explore and exploit …

Medical datasets are primarily made up of numerous pointless and redundant elements in a
collection of patient records. None of these characteristics are necessary for a medical …

Golden eagle optimizer (GEO) is a recently introduced nature-inspired metaheuristic
algorithm, which simulates the spiral hunting behavior of golden eagles in nature …

Now days, Internet of Things (IOTs) plays an important role due to sophisticated state-of-the-
art low power, low-cost wireless technologies. There are different areas that have witnessed …

This research presents a hybrid approach for path planning of autonomous underwater
vehicles (AUVs). During path planning, static obstacles affect the desired path and path …

Cooperative communication holds a significant task in Wireless Networks (WNs) by
enhancing communication reliability, power, efficiency, and network connectivity. In addition …

Teaching-learning-based optimization (TLBO) is an optimization algorithm that has become
very popular in recent years and has shown excellent performance in solving many scientific …

Emerging 5G communication solutions utilize the millimeter wave (mmWave) band to
alleviate the spectrum deficit. In the mmWave range, Multiple Input Multiple Output (MIMO) …

To meet the increasing demand for wireless applications requires efficient performance in
orthogonal frequency division multiplexing (OFDM) and multi-input multi-output (MIMO). The …

Dual interactive Wasserstein generative adversarial networks optimized with hybrid
Archimedes optimization and chimp optimization algorithm‐based channel estimation in …