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 review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems

E Kaya, B Gorkemli, B Akay, D Karaboga - Engineering Applications of …, 2022 - Elsevier
The ABC algorithm is one of the popular optimization algorithms and has been used
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …

Greylag goose optimization: nature-inspired optimization algorithm

ESM El-Kenawy, N Khodadadi, S Mirjalili… - Expert Systems with …, 2024 - Elsevier
Nature-inspired metaheuristic approaches draw their core idea from biological evolution in
order to create new and powerful competing algorithms. Such algorithms can be divided into …

Liver Cancer Algorithm: A novel bio-inspired optimizer

EH Houssein, D Oliva, NA Samee, NF Mahmoud… - Computers in Biology …, 2023 - Elsevier
This paper introduces a new bio-inspired optimization algorithm named the Liver Cancer
Algorithm (LCA), which mimics the liver tumor growth and takeover process. It uses an …

Multi-step crude oil price prediction based on lstm approach tuned by salp swarm algorithm with disputation operator

L Jovanovic, D Jovanovic, N Bacanin… - Sustainability, 2022 - mdpi.com
The economic model derived from the supply and demand of crude oil prices is a significant
component that measures economic development and sustainability. Therefore, it is …

Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey

D Karaboga, E Kaya - Artificial Intelligence Review, 2019 - Springer
In the structure of ANFIS, there are two different parameter groups: premise and
consequence. Training ANFIS means determination of these parameters using an …

ABC-GSPBFT: PBFT with grouping score mechanism and optimized consensus process for flight operation data-sharing

J Xu, Y Zhao, H Chen, W Deng - Information Sciences, 2023 - Elsevier
The flight operation data sharing not only brings huge benefits to all participants, but also
puts forward higher requirements for data security. Consortium blockchain provides a new …

A comprehensive review of swarm optimization algorithms

MN Ab Wahab, S Nefti-Meziani, A Atyabi - PloS one, 2015 - journals.plos.org
Many swarm optimization algorithms have been introduced since the early 60's,
Evolutionary Programming to the most recent, Grey Wolf Optimization. All of these algorithms …

UAV assisted 5G and beyond wireless networks: A survey

R Shahzadi, M Ali, HZ Khan, M Naeem - Journal of network and computer …, 2021 - Elsevier
There is a huge technological advancement in the field of wireless communication in the last
few decades. Technology has revolutionized from voice communication to interactive …

Stochastic paint optimizer: theory and application in civil engineering

A Kaveh, S Talatahari, N Khodadadi - Engineering with Computers, 2022 - Springer
This paper presents an art-inspired optimization algorithm, which is called Stochastic Paint
Optimizer (SPO). The SPO is a population-based optimizer inspired by the art of painting …