Particle Swarm Optimization with Adaptive Inertia Weight using Fuzzy Logic for Large-Scale Problems

In this paper an alternative approach is proposed to improve the convergence of Particle Swarm Optimization (PSO) algorithm by adapting the inertial weight parameter with a fuzzy logic system to solve large-scale optimization problems. The PSO algorithm is a population-based metaheuristic inspired b...

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Detalles Bibliográficos
Autores principales: Paz, Fabiola, Leguizamón, Guillermo, Mezura-Montes, Efrén
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2020
Materias:
Ciencias Informáticas
Fuzzy logic
Particle Swarm Optimization
Convergence control
Adaptive inertia weight
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/113264
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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