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Multi-Criteria Manipulator Trajectory Optimization Based on Evolutionary Algorithms

dc.contributor.authorPires, E. J. Solteiro
dc.contributor.authorOliveira, P. B. de Moura
dc.contributor.authorTenreiro Machado, J. A.
dc.date.accessioned2019-04-18T08:33:25Z
dc.date.available2019-04-18T08:33:25Z
dc.date.issued2010
dc.description.abstractThis paper proposes a method, based on a genetic algorithm, to generate smoth manipulator trajectories in a multi-objective perspective. The method uses terms proportional to the integral of the squared displacements in order to eliminate the jerk movement. In this work, the algorithm, based on NSGA-II and maximin sorting schemes, considers manipulators of two, three and four rotational axis (2R, 3R, 4R). The efficiency of the algorithm is evaluated, namely the extension of the front and the dispersion along the front. The effectiveness and capacity of the proposed approach are shown through simulations tests.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.doi10.1007/978-3-642-13161-5_12
dc.identifier.urihttp://hdl.handle.net/10400.22/13634
dc.language.isoengpt_PT
dc.titleMulti-Criteria Manipulator Trajectory Optimization Based on Evolutionary Algorithmspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage8pt_PT
oaire.citation.startPage1pt_PT
person.familyNameTenreiro Machado
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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