Observatorio de I+D+i UPM

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	Computers Research Today
ISSN	2231-1416
Factor de impacto JCR
Información de impacto
Volumen	1
DOI
Número de revista	1
Desde la página	17
Hasta la página	44
Mes	SIN MES
Ranking

Esta actividad pertenece a memorias de investigación

• Autor: Maria Mazzei (Universidad Abierta de Venezuela)
• Autor: Fernando de Mingo Lopez (UPM)
• Autor: Nuria Gomez Blas (UPM)
• Autor: Alberto Arteta Albert (UPM)

• Creador: Grupo de Investigación: Grupo de Señal Fotónica
• Grupo de Investigación: Grupo de Computación Natural
• Departamento: Matemática Aplicada (E.U. Informática)