Cyclic evolution : A new strategy for improving controllers obtained by layered evolution

Complex control tasks may be solved by dividing them into a more specific and more easily handled subtasks hierarchy. Several authors have demonstrated that the incremental layered evolution paradigm allows obtaining controllers capable of solving this type of tasks. In this direction, different so...

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Autores principales: Olivera, Javier Hugo, Lanzarini, Laura Cristina
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2005
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/22956
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id I19-R120-10915-22956
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
evolving neural networks
incremental evolution
layered evolution
Neural nets
spellingShingle Ciencias Informáticas
evolving neural networks
incremental evolution
layered evolution
Neural nets
Olivera, Javier Hugo
Lanzarini, Laura Cristina
Cyclic evolution : A new strategy for improving controllers obtained by layered evolution
topic_facet Ciencias Informáticas
evolving neural networks
incremental evolution
layered evolution
Neural nets
description Complex control tasks may be solved by dividing them into a more specific and more easily handled subtasks hierarchy. Several authors have demonstrated that the incremental layered evolution paradigm allows obtaining controllers capable of solving this type of tasks. In this direction, different solutions combining Incremental Evolution with Evolving Neural Networks have been developed in order to provide an adaptive mechanism minimizing the previous knowledge necessary to obtain a good performance giving place to controllers made up of several networks. This paper is focused on the presentation of a new mechanism, called Cyclic Evolution, which allows improving controllers based on neural networks obtained through layered evolution. Its performance is based on continuing the cyclic improvement of each of the networks making up the controller within the whole domain of the problem. The proposed method of this paper has been used to solve the Keepaway game with successful results compared to other solutions recently proposed. Finally, some conclusions are included together with some future lines of work
format Objeto de conferencia
Objeto de conferencia
author Olivera, Javier Hugo
Lanzarini, Laura Cristina
author_facet Olivera, Javier Hugo
Lanzarini, Laura Cristina
author_sort Olivera, Javier Hugo
title Cyclic evolution : A new strategy for improving controllers obtained by layered evolution
title_short Cyclic evolution : A new strategy for improving controllers obtained by layered evolution
title_full Cyclic evolution : A new strategy for improving controllers obtained by layered evolution
title_fullStr Cyclic evolution : A new strategy for improving controllers obtained by layered evolution
title_full_unstemmed Cyclic evolution : A new strategy for improving controllers obtained by layered evolution
title_sort cyclic evolution : a new strategy for improving controllers obtained by layered evolution
publishDate 2005
url http://sedici.unlp.edu.ar/handle/10915/22956
work_keys_str_mv AT oliverajavierhugo cyclicevolutionanewstrategyforimprovingcontrollersobtainedbylayeredevolution
AT lanzarinilauracristina cyclicevolutionanewstrategyforimprovingcontrollersobtainedbylayeredevolution
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