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26 de oct. de 2021 · FST-PSO is designed for the optimization of real-valued multi-dimensional multi-modal minimization problems. FST-PSO is settings-free version of PSO which exploits fuzzy logic to dynamically assign the functioning parameters to each particle in the swarm.
- pyswarms
PySwarms is an extensible research toolkit for particle...
- pyswarms
3 de ene. de 2021 · PySwarms is an extensible research toolkit for particle swarm optimization (PSO) in Python. It is intended for swarm intelligence researchers, practitioners, and students who prefer a high-level declarative interface for implementing PSO in their problems. PySwarms enables basic optimization with PSO and interaction with swarm optimizations.
La optimización por enjambre de partículas (Particle Swarm Optimization, PSO) es un método de optimización heurística orientado a encontrar mínimos o máximos globales.
FST-PSO is designed for the optimization of real- or discrete-valued multi-dimensional minimization problems. FST-PSO is settings-free version of PSO which exploits fuzzy logic to dynamically assign the functioning parameters to each particle in the swarm.
3 de may. de 2024 · pyFUME is a Python package for automatic Fuzzy Models Estimation from data [1]. pyFUME contains functions to estimate the antecedent sets and the consequent parameters of a Takagi-Sugeno fuzzy model directly from data.
1 de abr. de 2018 · In this work we propose a novel self-tuning algorithm—called Fuzzy Self-Tuning PSO (FST-PSO)—which exploits FL to calculate the inertia, cognitive and social factor, minimum and maximum velocity independently for each particle, thus realizing a complete settings-free version of PSO.
PySwarms is an extensible research toolkit for particle swarm optimization (PSO) in Python. It is intended for swarm intelligence researchers, practitioners, and students who prefer a high-level declarative interface for implementing PSO in their problems. PySwarms enables basic optimization with PSO and interaction with swarm optimizations.
