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Particle swarm optimization algorithm: an overview
Particle swarm optimization (PSO) is a population-based stochastic optimization algorithm
motivated by intelligent collective behavior of some animals such as flocks of birds or …
motivated by intelligent collective behavior of some animals such as flocks of birds or …
Power system optimization approach to mitigate voltage instability issues: A review
Voltage instability is a major challenge facing power system (PS) that has affected some
organizations in achieving their desired goals. Therefore, voltage instability is the …
organizations in achieving their desired goals. Therefore, voltage instability is the …
An improved particle swarm optimization with backtracking search optimization algorithm for solving continuous optimization problems
The particle swarm optimization (PSO) is a population-based stochastic optimization
technique by the social behavior of bird flocking and fish schooling. The PSO has a high …
technique by the social behavior of bird flocking and fish schooling. The PSO has a high …
Electromagnetic field optimization: a physics-inspired metaheuristic optimization algorithm
This paper presents a physics-inspired metaheuristic optimization algorithm, known as
Electromagnetic Field Optimization (EFO). The proposed algorithm is inspired by the …
Electromagnetic Field Optimization (EFO). The proposed algorithm is inspired by the …
Intelligent skin cancer detection using enhanced particle swarm optimization
In this research, we undertake intelligent skin cancer diagnosis based on dermoscopic
images using a variant of the Particle Swarm Optimization (PSO) algorithm for feature …
images using a variant of the Particle Swarm Optimization (PSO) algorithm for feature …
Impact of population topology on particle swarm optimization and its variants: An information propagation perspective
Particle swarm optimization is one of the most effective optimization algorithms motivated by
bird flocking behaviours. Population topology is a key aspect of particle swarm optimization …
bird flocking behaviours. Population topology is a key aspect of particle swarm optimization …
Dual DCT-DWT-SVD digital watermarking algorithm based on particle swarm optimization
L Zhang, D Wei - Multimedia Tools and Applications, 2019 - Springer
Robust invisible watermarking plays an important role in copyright protection. Such
watermarking has high requirements for robustness and security, and transparency and …
watermarking has high requirements for robustness and security, and transparency and …
A dynamic neighborhood learning-based gravitational search algorithm
Balancing exploration and exploitation according to evolutionary states is crucial to meta-
heuristic search (M-HS) algorithms. Owing to its simplicity in theory and effectiveness in …
heuristic search (M-HS) algorithms. Owing to its simplicity in theory and effectiveness in …
A time-varying mirrored S-shaped transfer function for binary particle swarm optimization
Binary Particle swarm optimization (BPSO) is one of the most popular swarm intelligence
algorithms to solve binary optimization problems. It has a few parameters, simple structure …
algorithms to solve binary optimization problems. It has a few parameters, simple structure …
[Retracted] Improved Particle Swarm Optimization Algorithm in Power System Network Reconfiguration
Y Wu, Q Song - Mathematical Problems in Engineering, 2021 - Wiley Online Library
With the rapid development of the social economy, the rapid development of all social circles
places higher demands on the electricity industry. As a fundamental industry supporting the …
places higher demands on the electricity industry. As a fundamental industry supporting the …