[HTML][HTML] Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems

SB Joseph, EG Dada, A Abidemi, DO Oyewola… - Heliyon, 2022 - cell.com
The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …

A systematic and meta‐analysis survey of whale optimization algorithm

HM Mohammed, SU Umar… - Computational …, 2019 - Wiley Online Library
The whale optimization algorithm (WOA) is a nature‐inspired metaheuristic optimization
algorithm, which was proposed by Mirjalili and Lewis in 2016. This algorithm has shown its …

[HTML][HTML] Advanced feature extraction and selection approach using deep learning and Aquila optimizer for IoT intrusion detection system

A Fatani, A Dahou, MAA Al-Qaness, S Lu, MA Elaziz - Sensors, 2021 - mdpi.com
Developing cyber security is very necessary and has attracted considerable attention from
academy and industry organizations worldwide. It is also very necessary to provide …

Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance

J Tu, H Chen, J Liu, AA Heidari, X Zhang… - Knowledge-Based …, 2021 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is a popular swarm-based algorithm with
some spotted defects in its generated patterns during the searching phases. In this study, an …

[Retracted] Brain Tumor Detection and Classification by MRI Using Biologically Inspired Orthogonal Wavelet Transform and Deep Learning Techniques

M Arif, F Ajesh, S Shamsudheen… - Journal of …, 2022 - Wiley Online Library
Radiology is a broad subject that needs more knowledge and understanding of medical
science to identify tumors accurately. The need for a tumor detection program, thus …

A new meta-heuristic optimizer: Pathfinder algorithm

H Yapici, N Cetinkaya - Applied soft computing, 2019 - Elsevier
This paper proposes a new meta-heuristic algorithm called Pathfinder Algorithm (PFA) to
solve optimization problems with different structure. This method is inspired by collective …

Lion optimization algorithm (LOA): a nature-inspired metaheuristic algorithm

M Yazdani, F Jolai - Journal of computational design and …, 2016 - academic.oup.com
During the past decade, solving complex optimization problems with metaheuristic
algorithms has received considerable attention among practitioners and researchers …

[图书][B] Nature-inspired optimization algorithms

XS Yang - 2020 - books.google.com
Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all
major nature-inspired algorithms for optimization. The book's unified approach, balancing …

[HTML][HTML] Cyberattacks detection in iot-based smart city applications using machine learning techniques

MM Rashid, J Kamruzzaman, MM Hassan… - International Journal of …, 2020 - mdpi.com
In recent years, the widespread deployment of the Internet of Things (IoT) applications has
contributed to the development of smart cities. A smart city utilizes IoT-enabled technologies …

An improved grey wolf optimization algorithm with variable weights

ZM Gao, J Zhao - Computational Intelligence and Neuroscience, 2019 - Wiley Online Library
With a hypothesis that the social hierarchy of the grey wolves would be also followed in their
searching positions, an improved grey wolf optimization (GWO) algorithm with variable …