Memorias de investigación
Artículos en revistas:
PSO and neural networks: Optimal combination to solve non linear complex problems
Año:2011
Áreas de investigación
  • Ingenierías
Datos
Descripción
Swarm colonies reproduce social habits. Working together in a group to reach a predefined goal is a social behaviour occurring in nature. Linear optimization problems have been approached by different techniques based on natural models. In particular, Particles Swarm optimization is a meta-heuristic search technique that has proven to be effective when dealing with complex optimization problems. This paper presents and develops a new method based on different penalties strategies to solve complex problems. It focuses on the training process of the neural networks, the constraints and the election of the parameters to ensure successful results and to avoid the most common obstacles when searching optimal solutions.
Internacional
Si
JCR del ISI
No
Título de la revista
Computer Research Today
ISSN
0976-1586
Factor de impacto JCR
Información de impacto
Volumen
DOI
Número de revista
Desde la página
1
Hasta la página
27
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Alberto Arteta Albert UPM
  • Autor: L. Mazzel
  • Autor: N. Gómez
  • Autor: L.F. Mingo
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Matemática Aplicada (E.U. Informática)
  • Grupo de Investigación: Grupo de Computación Natural