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

Bibliographic Details
Main Author: Piardi, Luis
Publication Date: 2018
Other Authors: Lima, José, Pereira, Ana I., Costa, Paulo Gomes da
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10198/21576
Summary: The 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.
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spelling Path planning optimization method based on genetic algorithm for mapping toxic environmentGenetic AlgorithmPath planningMobile robotOptimizationThe 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.Biblioteca Digital do IPBPiardi, LuisLima, JoséPereira, Ana I.Costa, Paulo Gomes da2020-04-07T10:21:18Z20182018-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/21576engPiardi, 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 978-3-319-91641-5978-3-319-91641-510.1007/978-3-319-91641-5_19info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T12:11:56Zoai:bibliotecadigital.ipb.pt:10198/21576Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:39:06.145783Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Path planning optimization method based on genetic algorithm for mapping toxic environment
title Path planning optimization method based on genetic algorithm for mapping toxic environment
spellingShingle Path planning optimization method based on genetic algorithm for mapping toxic environment
Piardi, Luis
Genetic Algorithm
Path planning
Mobile robot
Optimization
title_short Path planning optimization method based on genetic algorithm for mapping toxic environment
title_full Path planning optimization method based on genetic algorithm for mapping toxic environment
title_fullStr Path planning optimization method based on genetic algorithm for mapping toxic environment
title_full_unstemmed Path planning optimization method based on genetic algorithm for mapping toxic environment
title_sort Path planning optimization method based on genetic algorithm for mapping toxic environment
author Piardi, Luis
author_facet Piardi, Luis
Lima, José
Pereira, Ana I.
Costa, Paulo Gomes da
author_role author
author2 Lima, José
Pereira, Ana I.
Costa, Paulo Gomes da
author2_role author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Piardi, Luis
Lima, José
Pereira, Ana I.
Costa, Paulo Gomes da
dc.subject.por.fl_str_mv Genetic Algorithm
Path planning
Mobile robot
Optimization
topic Genetic Algorithm
Path planning
Mobile robot
Optimization
description The 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.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
2020-04-07T10:21:18Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/21576
url http://hdl.handle.net/10198/21576
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Piardi, 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 978-3-319-91641-5
978-3-319-91641-5
10.1007/978-3-319-91641-5_19
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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