Particle swarm optimization algorithm and its applications: a systematic review

AG Gad - Archives of computational methods in engineering, 2022 - Springer
Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …

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 …

Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications

W Zhao, L Wang, S Mirjalili - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
A new bio-inspired optimization algorithm called artificial hummingbird algorithm (AHA) is
proposed in this work to solve optimization problems. The AHA algorithm simulates the …

Major advances in particle swarm optimization: theory, analysis, and application

EH Houssein, AG Gad, K Hussain… - Swarm and Evolutionary …, 2021 - Elsevier
Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

25 years of particle swarm optimization: Flourishing voyage of two decades

J Nayak, H Swapnarekha, B Naik, G Dhiman… - … Methods in Engineering, 2023 - Springer
From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …

Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique

A Altan, S Karasu - Chaos, solitons & fractals, 2020 - Elsevier
The novel coronavirus disease 2019 (COVID-19), detected in Wuhan City, Hubei Province,
China in late December 2019, is rapidly spreading and affecting all countries in the world …

Machine learning predicts and optimizes hydrothermal liquefaction of biomass

A Shafizadeh, H Shahbeig, MH Nadian, H Mobli… - Chemical Engineering …, 2022 - Elsevier
The hydrothermal liquefaction process has recently attracted more attention in biorefinery
design and implementation because of its capability of handling various wet biomass …

Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems

M Abdel-Basset, D El-Shahat, M Jameel… - Artificial Intelligence …, 2023 - Springer
Numerous optimization problems can be addressed using metaheuristics instead of
deterministic and heuristic approaches. This study proposes a novel population-based …

Building an efficient intrusion detection system based on feature selection and ensemble classifier

Y Zhou, G Cheng, S Jiang, M Dai - Computer networks, 2020 - Elsevier
Intrusion detection system (IDS) is one of extensively used techniques in a network topology
to safeguard the integrity and availability of sensitive assets in the protected systems …

A survey on swarm intelligence approaches to feature selection in data mining

BH Nguyen, B Xue, M Zhang - Swarm and Evolutionary Computation, 2020 - Elsevier
One of the major problems in Big Data is a large number of features or dimensions, which
causes the issue of “the curse of dimensionality” when applying machine learning …