Observatorio de I+D+i UPM

Descripción
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
Internacional	Si
JCR del ISI	Si
Título de la revista	EVOLUTIONARY COMPUTATION
ISSN	1063-6560
Factor de impacto JCR	1,575
Información de impacto
Volumen	16
DOI
Número de revista	1
Desde la página	1
Hasta la página	30
Mes	ENERO
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Esta actividad pertenece a memorias de investigación

• Participante: M Abderrahim (UCIIIM)
• Autor: Claudio Rossi (UPM)
• Participante: J.C. DIAZ (UCIIIM)

• Creador: Grupo de Investigación: Grupo de Robótica y Cibernética
• Departamento: Automática, Ingeniería Electrónica e Informática Industrial