Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators Motion

Riquelme Santos, José Cristóbal; Ridao Carlini, Miguel Ángel; Camacho, Eduardo F.; Toro Bonilla, Miguel

doi:10.1007/978-3-7091-6492-1_6

Ponencia

dc.creator	Riquelme Santos, José Cristóbal	es
dc.creator	Ridao Carlini, Miguel Ángel	es
dc.creator	Camacho, Eduardo F.	es
dc.creator	Toro Bonilla, Miguel	es
dc.date.accessioned	2020-04-22T13:50:27Z
dc.date.available	2020-04-22T13:50:27Z
dc.date.issued	1998
dc.identifier.citation	Riquelme Santos, J.C., Ridao Carlini, M.Á., Camacho, E.F. y Toro Bonilla, M. (1998). Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators Motion. En International Conference on Artificial Neural Networks and Genetic Algorithms (26-30), Norwich, UK: Springer Nature.
dc.identifier.isbn	9783709164921	es
dc.identifier.uri	https://hdl.handle.net/11441/95613
dc.description	International Conference on Artificial Neural Networks and Genetic Algorithms. 01/01/1997. Norwich	es
dc.description.abstract	A method based on genetic algorithms for obtaining coordinated motion plans of manipulator robots is presented. A decoupled planning approach has been used; that is, the problem has been decomposed into two subproblems: path planning and trajectory planning. This paper focuses on the second problem. The generated plans minimize the total motion time of the robots along their paths. The optimization problem is solved by evolutionary algorithms using a variable-length individuals codification and specific genetic operators.	es
dc.format	application/pdf	es
dc.format.extent	6 p.	es
dc.language.iso	eng	es
dc.publisher	Springer Nature	es
dc.relation.ispartof	International Conference on Artificial Neural Networks and Genetic Algorithms (1998), pp. 26-30.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Path Planning	es
dc.subject	Genetic Operator	es
dc.subject	Lower Left Corner	es
dc.title	Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators Motion	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/submittedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos	es
dc.relation.publisherversion	https://link.springer.com/chapter/10.1007/978-3-7091-6492-1_6	es
dc.identifier.doi	10.1007/978-3-7091-6492-1_6	es
dc.publication.initialPage	26	es
dc.publication.endPage	30	es
dc.eventtitle	International Conference on Artificial Neural Networks and Genetic Algorithms	es
dc.eventinstitution	Norwich, UK	es
dc.identifier.sisius	5579884	es

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