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Path planning optimization method based on genetic algorithm for mapping toxic environment

2018Conference paper Open access
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dc.contributor.authorPiardi, Luis
dc.contributor.authorLima, José
dc.contributor.authorPereira, Ana I.
dc.contributor.authorCosta, Paulo Gomes da
dc.date.accessioned2020-04-07T10:21:18Z
dc.date.available2020-04-07T10:21:18Z
dc.date.issued2018
dc.description.abstractThe ionizing radiation is used in the nuclear medicine field during the execution of diagnosis exams. The administration of nuclear radio pharmaceutical components to the patient contaminates the environment. The main contribution of this work is to propose a path planning method for scanning the nuclear contaminated environment with a mobile robot optimizing the traveled distance. The Genetic Algorithm methodology is proposed and compared with other approaches and the final solution is validated in simulated and real environment in order to achieve a closer approximation to reality.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPiardi, Luis; Lima, José; Pereira, Ana I.; Costa, Paulo (2018). Path planning optimization method based on genetic algorithm for mapping toxic environment. In Korošec P., Melab N., Talbi EG. (eds) Bioinspired Optimization Methods and Their Applications. BIOMA 2018. p. 223-233. ISBN 978-3-319-91641-5pt_PT
dc.identifier.doi10.1007/978-3-319-91641-5_19pt_PT
dc.identifier.isbn978-3-319-91641-5
dc.identifier.urihttp://hdl.handle.net/10198/21576
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectGenetic Algorithmpt_PT
dc.subjectPath planningpt_PT
dc.subjectMobile robotpt_PT
dc.subjectOptimizationpt_PT
dc.titlePath planning optimization method based on genetic algorithm for mapping toxic environmentpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.endPage233pt_PT
oaire.citation.startPage223pt_PT
oaire.citation.titleBioinspired Optimization Methods and Their Applications. BIOMA 2018pt_PT
oaire.citation.volume10835pt_PT
person.familyNamePiardi
person.familyNameLima
person.familyNamePereira
person.givenNameLuís
person.givenNameJosé
person.givenNameAna I.
person.identifierR-000-8GD
person.identifier.ciencia-idC51A-82DB-016F
person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.orcid0000-0003-1627-8210
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0003-3803-2043
person.identifier.ridL-3370-2014
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id15071961600
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication643e9664-ec9b-4b2f-b93c-6f3f8335fd61
relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublicatione9981d62-2a2b-4fef-b75e-c2a14b0e7846
relation.isAuthorOfPublication.latestForDiscoveryd88c2b2a-efc2-48ef-b1fd-1145475e0055

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