Texto completo
Vista Previa |
PDF (Portable Document Format)
- Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (517kB) | Vista Previa |
Tracking moving optima using Kalman-based predictions
Cita
Rossi, Claudio 
ORCID: https://orcid.org/0000-0002-8740-2453, Abderrahim, Mohamed and Diaz, Julio Cesar
(2008).
Tracking moving optima using Kalman-based predictions.
"Evolutionary Computation", v. 16
(n. 1);
pp. 1-30.
ISSN 1063-6560.
ORCID: https://orcid.org/0000-0002-8740-2453, Abderrahim, Mohamed and Diaz, Julio Cesar
(2008).
Tracking moving optima using Kalman-based predictions.
"Evolutionary Computation", v. 16
(n. 1);
pp. 1-30.
ISSN 1063-6560.
Descripción
| Título: | Tracking moving optima using Kalman-based predictions |
|---|---|
| Autor/es: |
|
| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Evolutionary Computation |
| Fecha: | Marzo 2008 |
| ISSN: | 1063-6560 |
| Volumen: | 16 |
| Número: | 1 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Evolutionary algorithms, vision-based tracking, dynamic optimization problem, timevarying fitness function. |
| Escuela: | E.T.S.I. Industriales (UPM) |
| Departamento: | Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014] |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness landscape. In this paper we compare different techniques for integrating motion information into an evolutionary algorithm, in the case it has to follow a time-changing optimum, under the assumption that the changes follow a nonrandom law. Such a law can be estimated in order to improve the optimum tracking capabilities of the algorithm. In particular, we will focus on first order dynamical laws to track moving objects. A vision-based tracking robotic application is used as testbed for experimental comparison.
Más información
| ID de Registro: | 2840 |
|---|---|
| Identificador DC: | https://oa.upm.es/2840/ |
| Identificador OAI: | oai:oa.upm.es:2840 |
| URL Oficial: | http://www.mitpressjournals.org/toc/evco/16/1 |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 16 Abr 2010 11:58 |
| Ultima Modificación: | 20 Abr 2016 12:29 |
Acciones
- Estadísticas
- Exportar cita
- Editar (sólo personal del Archivo)
