A Hybrid EDA/Nelder-Mead for Concurrent Robot Optimization

S. Ivvan Valdez, Eusebio Hernandez, Sajjad Keshtkar

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

We introduce an optimization algorithm which combines an Estimation of Distribution Algorithm (EDA) and the Nelder-Mead method for global and local optimization, respectively. The proposal not only interleaves global and local search steps but takes advantage of the information collected by the global search to use it into the local search and backwards, providing of an efficient symbiosis. The algorithm is applied to the concurrent optimization of a rehabilitation robot design, that is to say, to the dimensional synthesis as well as the determination of control gains. Finally, we present an statistical analysis and evidence about the performance of this symbiotic algorithm.

Idioma originalInglés
Título de la publicación alojadaHybrid Intelligent Systems - 18th International Conference on Hybrid Intelligent Systems HIS 2018
EditoresAjith Abraham, Maria Leonilde Varela, Ana Maria Madureira, Niketa Gandhi
EditorialSpringer Verlag
Páginas198-207
Número de páginas10
ISBN (versión impresa)9783030143466
DOI
EstadoPublicada - 2020
Evento18th International Conference on Hybrid Intelligent Systems, HIS 2018 - Porto, Portugal
Duración: 13 dic. 201815 dic. 2018

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen923
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

Conferencia18th International Conference on Hybrid Intelligent Systems, HIS 2018
País/TerritorioPortugal
CiudadPorto
Período13/12/1815/12/18

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