Bibliometric survey on particle swarm optimization algorithms (2001–2021)

SSM Ajibade, A Ojeniyi - Journal of Electrical and Computer …, 2022 - Wiley Online Library
Particle swarm optimization algorithms (PSOA) is a metaheuristic algorithm used to optimize
computational problems using candidate solutions or particles based on selected quality …

Trainable Monte Carlo-MLP for cost uncertainty in resilient supply chain optimization with additive manufacturing implementation challenges

P Roozkhosh, M Ghorbani - Applied Soft Computing, 2025 - Elsevier
Abstract The integration of Additive Manufacturing (AM) has the potential to transform Supply
Chain (SC) dynamics, but its implementation introduces risks that require careful …

Particle swarm-differential evolution algorithm with multiple random mutation

M Lin, Z Wang, D Chen, W Zheng - Applied Soft Computing, 2022 - Elsevier
Differential evolution (DE) algorithm has attracted considerable attention because of its
effectiveness and simplicity. However, previous studies have validated that DE still suffers …

SFSADE: an improved self-adaptive differential evolution algorithm with a shuffled frog-leaping strategy

Q Pan, J Tang, H Wang, H Li, X Chen, S Lao - Artificial Intelligence Review, 2022 - Springer
The differential evolution (DE) algorithm is an efficient random search algorithm based on
swarm intelligence for solving optimization problems. It has the advantages of easy …

Multi-objective optimization of the mixed-flow intelligent production line for automotive MEMS pressure sensors

Q Zhang, H Li, S Shen, W Cao, J Jiang, W Tang… - Applied Intelligence, 2025 - Springer
Intelligent manufacturing can provide powerful support for the digital transformation of
manufacturing industry. Micro-electro-mechanical system (MEMS) sensors have been …

Edoa: An elastic deformation optimization algorithm

Q Pan, J Tang, S Lao - Applied Intelligence, 2022 - Springer
In recent years, a large number of meta-heuristic algorithms have been proposed to
efficiently solve various complex optimization problems in reality. Most of these algorithms …

Optimized fuzzy logic and sliding mode control for stability and disturbance rejection in rotary inverted pendulum

TVA Nguyen, QT Dao, NT Bui - Scientific Reports, 2024 - nature.com
This paper presents a novel and comprehensive control framework for the Rotary Inverted
Pendulum (RIP), focusing on a hybrid control strategy that addresses the limitations of …

Scientometric analysis of quantum-inspired metaheuristic algorithms

Pooja, SK Sood - Artificial Intelligence Review, 2024 - Springer
Quantum algorithms, based on the principles of quantum mechanics, offer significant
parallel processing capabilities with a wide range of applications. Nature-inspired stochastic …

TriTSA: Triple Tree-Seed Algorithm for dimensional continuous optimization and constrained engineering problems

J Jiang, Y Liu, Z Zhao - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
Abstract Tree-Seed Algorithm (TSA) is a meta-heuristic optimization algorithm with good
performance in solving continuous optimization problems. However, there is an imbalance …

Prediction of corrosion degree of reinforced concrete based on improved QPSO-neural network

X Lin, G Zhu, S Yu, C Hu, P Wang - Nondestructive Testing and …, 2023 - Taylor & Francis
The corrosion assessment of reinforced concrete is an important problem. Most of the
current detection methods are to perform corrosion evaluation on a single corrosion feature …