A novel quantum inspired particle swarm optimization algorithm for electromagnetic applications
Quantum inspired particle swarm optimization (QPSO) stimulated by perceptions from
particle swarm optimization and quantum mechanics is a stochastic optimization method …
particle swarm optimization and quantum mechanics is a stochastic optimization method …
A quantum particle swarm optimizer with enhanced strategy for global optimization of electromagnetic devices
Quantum particle swarm optimization (QPSO), inspired from the basic concept of PSO
algorithm and quantum theory, is a stochastic searching algorithm. However, the algorithm …
algorithm and quantum theory, is a stochastic searching algorithm. However, the algorithm …
A modified particle swarm optimization with a smart particle for inverse problems in electromagnetic devices
Particle swarm optimization (PSO) is a swarm intelligence-based metaheuristic algorithm
inspired by the natural behavior of birds flocking or fish schooling. The PSO's main …
inspired by the natural behavior of birds flocking or fish schooling. The PSO's main …
Compensation for target speckle phase by use of the combination of the adaptive particle swarm optimization algorithm and the array detector method in heterodyne …
Y Liu, X Zeng, C Cao, Z Feng, Z Lai, Z Fan, T Wang… - Optics …, 2020 - Elsevier
This study presents a robust extension of a widely used array detector method for
overcoming the speckle effect in active coherent detection. We consider the heterodyne …
overcoming the speckle effect in active coherent detection. We consider the heterodyne …
Parameter identification of solar cells and fuel cell using improved social spider algorithm
Purpose To design, control and evaluate photovoltaic (PV) systems, an accurate model is
required. Accuracy of PV models depends on model parameters. This study aims to use a …
required. Accuracy of PV models depends on model parameters. This study aims to use a …
A high accuracy modeling scheme for dynamic systems: spacecraft reaction wheel model
AER Abd-Elhay, WA Murtada, MI Yosof - Journal of Engineering and …, 2022 - Springer
Reaction wheels are crucial actuators in spacecraft attitude control subsystem (ACS). The
precise modeling of reaction wheels is of fundamental need in spacecraft ACS for design …
precise modeling of reaction wheels is of fundamental need in spacecraft ACS for design …
A modified quantum particle swarm optimizer applied to optimization design of electromagnetic devices
Quantum particle swarm optimization (QPSO) is a swarm intelligence method that has been
successfully applied to solve a wide scope of electromagnetic inverse problems. The …
successfully applied to solve a wide scope of electromagnetic inverse problems. The …
Implementation of particle swarm optimization algorithm for estimating the innovative parameters of a spike sequence from noisy samples via maximum likelihood …
M Najjarzadeh, H Sadjedi - Digital Signal Processing, 2020 - Elsevier
Since the introduction of finite rate of innovation (FRI) signals in 2002, various deterministic
and stochastic techniques have been proposed to estimate the innovative parameters of FRI …
and stochastic techniques have been proposed to estimate the innovative parameters of FRI …
Improving the diversity of PSO for an engineering inverse problem using adaptive inertia weight
Sažetak Particle swarm optimization is a stochastic optimal search algorithm inspired by
observing schools of fishes and flocks of birds. It is prevalent due to its easy implementation …
observing schools of fishes and flocks of birds. It is prevalent due to its easy implementation …
Optimization of loneys solenoid design using a dynamic search based technique
Particle swarm optimizer is one of the searched based stochastic technique that has a
weakness of being trapped into local optima. Thus, to tradeoff between the local and global …
weakness of being trapped into local optima. Thus, to tradeoff between the local and global …