Evolutionary self-organizing fuzzy system using fuzzy-classification-based social learning particle swarm optimization
T Zhao, C Chen, H Cao - Information Sciences, 2022 - Elsevier
A self-organizing algorithm based on an online cluster and fuzzy sets update algorithm
(OCFU) and fuzzy-classification-based social learning particle swarm optimization (FC …
(OCFU) and fuzzy-classification-based social learning particle swarm optimization (FC …
A hybrid smart quantum particle swarm optimization for multimodal electromagnetic design problems
Quantum behaved particle swarm optimization (QPSO) has been one of the most widely
used algorithm in engineering world. Since its debut in 2004, QPSO has been used for …
used algorithm in engineering world. Since its debut in 2004, QPSO has been used for …
On accelerated metaheuristic-based electromagnetic-driven design optimization of antenna structures using response features
Development of present-day antenna systems is an intricate and multi-step process
requiring, among others, meticulous tuning of designable (mainly geometry) parameters …
requiring, among others, meticulous tuning of designable (mainly geometry) parameters …
Model management for low-computational-budget simulation-based optimization of antenna structures using nature-inspired algorithms
A Pietrenko-Dabrowska, S Koziel - Applied Soft Computing, 2024 - Elsevier
Antenna design has been increasingly reliant on computational tools, specifically, full-wave
electromagnetic (EM) analysis. EM simulations are capable of rendering a reliable …
electromagnetic (EM) analysis. EM simulations are capable of rendering a reliable …
A multimodal improved particle swarm optimization for high dimensional problems in electromagnetic devices
Particle Swarm Optimization (PSO) is a member of the swarm intelligence-based on a
metaheuristic approach which is inspired by the natural deeds of bird flocking and fish …
metaheuristic approach which is inspired by the natural deeds of bird flocking and fish …
A multimodal smart quantum particle swarm optimization for electromagnetic design optimization problems
Electromagnetic design problems are generally formulated as nonlinear programming
problems with multimodal objective functions and continuous variables. These can be …
problems with multimodal objective functions and continuous variables. These can be …
Optimizing Multi-Modal Electromagnetic Design Problems using Quantum Particle Swarm Optimization with Differential Evolution
Many versatile and promising swarm intelligence evolutionary algorithms are being
developed to solve engineering optimization problems. Although evolutionary algorithms …
developed to solve engineering optimization problems. Although evolutionary algorithms …
A modified particle swarm optimization for the applications of electromagnetic devices
Particle Swarm Optimization (PSO) is a global search algorithm based on swarm
intelligence. The PSO is becoming more popular because of solving complex and …
intelligence. The PSO is becoming more popular because of solving complex and …
Optimization of Smart-Mini-Grids Operation Modes Based on Modified Particle Swarm Optimization Method
AV Bondarev, VN Efanov… - … Conference on Industrial …, 2024 - ieeexplore.ieee.org
The problem of operational control of local electric power systems based on renewable
energy sources is considered. The peculiarities of this class of systems as control objects …
energy sources is considered. The peculiarities of this class of systems as control objects …
A New Approach of Midrange Exploration Exploitation Searching Particle Swarm Optimization for Optimal Solution
The conventional Particle Swarm Optimization (PSO) was introduced as an optimization
technique for real applications such as image processing, tracking, localization, and …
technique for real applications such as image processing, tracking, localization, and …