Repository logo
 
Publication

A multi-objective genetic algorithm applied to autonomous underwater vehicles for sewage outfall plume dispersion observations

2010-09Journal article Restricted access
Simple item page
datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorMoura, Ana
dc.contributor.authorRijo, Rui
dc.contributor.authorSilva, Pedro
dc.contributor.authorCrespo, Sidónio
dc.date.accessioned2025-12-17T16:02:11Z
dc.date.available2025-12-17T16:02:11Z
dc.date.issued2010-09
dc.descriptionSilva, Pedro - Scopus ID: 56611289900 Crespo, Sidónio - Scopus ID: 36902803400
dc.description.abstractThis work presents a multi-objective genetic algorithm to solve route planning problem for multiple autonomous underwater vehicles (AUVs) for interdisciplinary coastal research. AUVs are mobile unmanned platforms that carry their own energy and are able to move themselves in the water without intervention from an external operator. Using AUVs one can provide high-quality measurements of physical properties of effluent plumes in a very effective manner under real oceanic conditions. The AUV's route planning problem is a combinatorial optimization problem, where the vehicles must travel through a three-dimensional irregular space with all dimensions known. Therefore, minimization of the total travel distance while considering the maximum number of water samples is the main objective. Besides the AUV kinematics restrictions other considerations must be taken into account to the problem, like the ocean currents. The practical applications of this approach are the environmental monitoring missions which typically require the sampling of a volume of water with non-trivial geometry for which parallel line sweeping might be a costly solution. Some real-life test problems and related solutions are presented.eng
dc.description.sponsorshipAcknowledgement - Aníbal Matos from Department of Electrical and Computer Engineering of FEUP (Faculdade de Engenharia da Universidade do Porto).
dc.identifier.citationAna Moura, Rui Rijo, Pedro Silva, Sidónio Crespo, A multi-objective genetic algorithm applied to autonomous underwater vehicles for sewage outfall plume dispersion observations, Applied Soft Computing, Volume 10, Issue 4, 2010, Pages 1119-1126, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2010.05.009.
dc.identifier.doi10.1016/j.asoc.2010.05.009
dc.identifier.issn1568-4946
dc.identifier.urihttp://hdl.handle.net/10400.8/15133
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S1568494610001109?via%3Dihub
dc.relation.ispartofApplied Soft Computing
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectMulti-Objective
dc.subjectGenetic algorithms and autonomous
dc.subjectunderwater vehicle
dc.titleA multi-objective genetic algorithm applied to autonomous underwater vehicles for sewage outfall plume dispersion observationseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1126
oaire.citation.issue4
oaire.citation.startPage1119
oaire.citation.titleApplied Soft Computing
oaire.citation.volume10
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameRijo
person.givenNameRui
person.identifier.orcid0000-0002-9348-0474
person.identifier.scopus-author-id36861366200
relation.isAuthorOfPublicatione69d7599-392c-4f8f-a96a-bf0a0d15c8b1
relation.isAuthorOfPublication.latestForDiscoverye69d7599-392c-4f8f-a96a-bf0a0d15c8b1

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
A multi-objective genetic algorithm applied to autonomous underwater vehicles for sewage outfall plume dispersion observations.pdf
Size:
398.02 KB
Format:
Adobe Portable Document Format
Description:
This work presents a multi-objective genetic algorithm to solve route planning problem for multiple autonomous underwater vehicles (AUVs) for interdisciplinary coastal research. AUVs are mobile unmanned platforms that carry their own energy and are able to move themselves in the water without intervention from an external operator. Using AUVs one can provide high-quality measurements of physical properties of effluent plumes in a very effective manner under real oceanic conditions. The AUV's route planning problem is a combinatorial optimization problem, where the vehicles must travel through a three-dimensional irregular space with all dimensions known. Therefore, minimization of the total travel distance while considering the maximum number of water samples is the main objective. Besides the AUV kinematics restrictions other considerations must be taken into account to the problem, like the ocean currents. The practical applications of this approach are the environmental monitoring missions which typically require the sampling of a volume of water with non-trivial geometry for which parallel line sweeping might be a costly solution. Some real-life test problems and related solutions are presented.
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.32 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

INESCC-DL - Artigos em Revistas Internacionais
ESTG - Artigos em revistas internacionais