K-means-based nature-inspired metaheuristic algorithms for automatic data clustering problems: Recent advances and future directions
AM Ikotun, MS Almutari, AE Ezugwu - Applied Sciences, 2021 - mdpi.com
K-means clustering algorithm is a partitional clustering algorithm that has been used widely
in many applications for traditional clustering due to its simplicity and low computational …
in many applications for traditional clustering due to its simplicity and low computational …
Intelligent optimization: Literature review and state-of-the-art algorithms (1965–2022)
A Mohammadi, F Sheikholeslam - Engineering Applications of Artificial …, 2023 - Elsevier
Today, intelligent optimization has become a science that few researchers have not used in
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …
Novel improved salp swarm algorithm: An application for feature selection
We live in a period when smart devices gather a large amount of data from a variety of
sensors and it is often the case that decisions are taken based on them in a more or less …
sensors and it is often the case that decisions are taken based on them in a more or less …
Newton-Raphson-based optimizer: A new population-based metaheuristic algorithm for continuous optimization problems
Abstract The Newton-Raphson-Based Optimizer (NRBO), a new metaheuristic algorithm, is
suggested and developed in this paper. The NRBO is inspired by Newton-Raphson's …
suggested and developed in this paper. The NRBO is inspired by Newton-Raphson's …
Nature-inspired metaheuristic search algorithms for optimizing benchmark problems: inclined planes system optimization to state-of-the-art methods
In the literature, different types of inclined planes system optimization (IPO) algorithms have
been proposed and evaluated in various applications. Due to the large number of variants …
been proposed and evaluated in various applications. Due to the large number of variants …
Low-complexity PSO-based resource allocation scheme for cooperative non-linear SWIPT-enabled NOMA
Cooperative networks integrating non-orthogonal multiple access (NOMA) and
simultaneous wireless information power transfer (SWIPT) are emerging technologies that …
simultaneous wireless information power transfer (SWIPT) are emerging technologies that …
Rate-splitting multiple access in a MISO SWIPT system assisted by an intelligent reflecting surface
Rate-splitting multiple access (RSMA) and the intelligent reflecting surface (IRS) are novel
technologies to improve spectrum and energy efficiencies in multi-antenna networks. In this …
technologies to improve spectrum and energy efficiencies in multi-antenna networks. In this …
A cloud computing-based modified symbiotic organisms search algorithm (AI) for optimal task scheduling
The search algorithm based on symbiotic organisms' interactions is a relatively recent bio-
inspired algorithm of the swarm intelligence field for solving numerical optimization …
inspired algorithm of the swarm intelligence field for solving numerical optimization …
EEG channel selection techniques in motor imagery applications: a review and new perspectives
Communication, neuro-prosthetics, and environmental control are just a few applications for
disabled persons who use robots and manipulators that use brain-computer interface (BCI) …
disabled persons who use robots and manipulators that use brain-computer interface (BCI) …
[PDF][PDF] Design of fractional order PID controller for AVR system using whale optimization algorithm
In this paper a robust fractional order PID (FOPID) controller is proposed to control the
automatic voltage regulator (AVR) system, the tuning of the controller gains are done using …
automatic voltage regulator (AVR) system, the tuning of the controller gains are done using …