{"id":"https://openalex.org/W4281882150","doi":"https://doi.org/10.1145/3529399.3529442","title":"A Comparison of PSO-Based Informative Path Planners for Autonomous Surface Vehicles for Water Resource Monitoring","display_name":"A Comparison of PSO-Based Informative Path Planners for Autonomous Surface Vehicles for Water Resource Monitoring","publication_year":2022,"publication_date":"2022-03-11","ids":{"openalex":"https://openalex.org/W4281882150","doi":"https://doi.org/10.1145/3529399.3529442"},"language":"en","primary_location":{"id":"doi:10.1145/3529399.3529442","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529399.3529442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Machine Learning Technologies (ICMLT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054421068","display_name":"Micaela Jara Ten Kathen","orcid":"https://orcid.org/0000-0002-7137-9076"},"institutions":[{"id":"https://openalex.org/I243381257","display_name":"Universidad Loyola Andaluc\u00eda","ror":"https://ror.org/0075gfd51","country_code":"ES","type":"education","lineage":["https://openalex.org/I243381257"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Micaela Carolina Jara Ten Kathen","raw_affiliation_strings":["Departamento Ingenieria, Universidad Loyola Andalucia, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento Ingenieria, Universidad Loyola Andalucia, Spain","institution_ids":["https://openalex.org/I243381257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023424394","display_name":"Isabel Jurado Flores","orcid":"https://orcid.org/0000-0003-3056-5996"},"institutions":[{"id":"https://openalex.org/I243381257","display_name":"Universidad Loyola Andaluc\u00eda","ror":"https://ror.org/0075gfd51","country_code":"ES","type":"education","lineage":["https://openalex.org/I243381257"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Isabel Jurado Flores","raw_affiliation_strings":["Departamento Ingenieria, Universidad Loyola Andalucia, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento Ingenieria, Universidad Loyola Andalucia, Spain","institution_ids":["https://openalex.org/I243381257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014119633","display_name":"Daniel Guti\u00e9rrez Reina","orcid":"https://orcid.org/0000-0002-2481-5058"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Daniel Gutierrez Reina","raw_affiliation_strings":["Departamento Ingenieria Electronica, Universidad de Sevilla, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento Ingenieria Electronica, Universidad de Sevilla, Spain","institution_ids":["https://openalex.org/I79238269"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054421068"],"corresponding_institution_ids":["https://openalex.org/I243381257"],"apc_list":null,"apc_paid":null,"fwci":0.7216,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6667221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"271","last_page":"276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.758230447769165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5962097644805908},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5197746157646179},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4902263283729553},{"id":"https://openalex.org/keywords/water-resources","display_name":"Water resources","score":0.44461774826049805},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4135902523994446},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22609856724739075},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21138599514961243},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.08546978235244751}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.758230447769165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5962097644805908},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5197746157646179},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4902263283729553},{"id":"https://openalex.org/C153823671","wikidata":"https://www.wikidata.org/wiki/Q1049799","display_name":"Water resources","level":2,"score":0.44461774826049805},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4135902523994446},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22609856724739075},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21138599514961243},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.08546978235244751},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3529399.3529442","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529399.3529442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Machine Learning Technologies (ICMLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2766900259","https://openalex.org/W2956244563","https://openalex.org/W3122963056","https://openalex.org/W3182612259","https://openalex.org/W4211049957","https://openalex.org/W4253484285"],"related_works":["https://openalex.org/W3019402777","https://openalex.org/W2031835531","https://openalex.org/W2388590088","https://openalex.org/W4386596916","https://openalex.org/W1969166468","https://openalex.org/W2363822170","https://openalex.org/W2097519318","https://openalex.org/W2116377213","https://openalex.org/W2122371747","https://openalex.org/W2069224524"],"abstract_inverted_index":{"Preserving":[0],"water":[1,27,48,73],"resources":[2,74],"is":[3,7,15,79,138,148],"an":[4,16],"objective":[5],"that":[6,46,143],"constantly":[8],"being":[9],"pursued.":[10],"Monitoring":[11],"the":[12,23,26,80,93,102,106,110,113,116,123,128,131,144,149,152,157],"aquatic":[13],"environments":[14],"action":[17],"to":[18],"fulfill":[19],"this":[20],"objective,":[21],"since":[22],"state":[24],"of":[25,82,95,130],"quality":[28,49],"will":[29],"be":[30,36],"controlled.":[31],"The":[32,76,85,98,140],"monitoring":[33,54,156],"task":[34],"can":[35],"carried":[37,87],"out":[38,88],"with":[39,44,52,151],"Autonomous":[40],"Surface":[41],"Vehicles":[42],"equipped":[43],"sensors":[45],"measure":[47],"parameters":[50],"and":[51,91,122],"a":[53,59],"system.":[55],"This":[56],"paper":[57],"presents":[58],"comparison":[60],"between":[61],"informative":[62],"path":[63],"planners":[64],"based":[65],"on":[66],"PSO":[67,134,147],"for":[68,72,155],"autonomous":[69],"surface":[70],"vehicles":[71],"monitoring.":[75],"case":[77,81],"presented":[78],"Ypacarai":[83],"Lake.":[84],"simulations":[86],"allow":[89],"visualizing":[90],"comparing":[92],"response":[94],"different":[96],"methods.":[97],"methods":[99],"evaluated":[100],"are":[101],"Local":[103],"Best":[104,108],"method,":[105,109,112,115],"Global":[107],"Uncertainty":[111],"Contamination":[114],"Classic":[117],"PSO,":[118,121],"Enhanced":[119,132,145],"GP-based":[120,133,146],"Epsilon":[124],"Greedy":[125],"method.":[126],"For":[127],"optimization":[129,137],"coefficients,":[135],"Bayesian":[136],"selected.":[139],"results":[141],"show":[142],"algorithm":[150],"best":[153],"solutions":[154],"lake":[158],"environment.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}