{"id":"https://openalex.org/W4413209870","doi":"https://doi.org/10.1145/3712255.3726707","title":"Hybrid Approach for Multi-Robot Task Allocation in Search and Rescue Operations Using NSGA-II and Variable Neighborhood Descent","display_name":"Hybrid Approach for Multi-Robot Task Allocation in Search and Rescue Operations Using NSGA-II and Variable Neighborhood Descent","publication_year":2025,"publication_date":"2025-07-14","ids":{"openalex":"https://openalex.org/W4413209870","doi":"https://doi.org/10.1145/3712255.3726707"},"language":"en","primary_location":{"id":"doi:10.1145/3712255.3726707","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3712255.3726707","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"conference-paper","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/A5053819479","display_name":"Tatiana M. B. Santos","orcid":"https://orcid.org/0009-0006-9683-9864"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Tatiana Machado Brito dos Santos","raw_affiliation_strings":["Universidade Federal Fluminense, Niteroi, Brazil"],"raw_orcid":"https://orcid.org/0009-0006-9683-9864","affiliations":[{"raw_affiliation_string":"Universidade Federal Fluminense, Niteroi, Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044981679","display_name":"Milena F. Pinto","orcid":"https://orcid.org/0000-0001-6916-700X"},"institutions":[{"id":"https://openalex.org/I158509141","display_name":"Federal Center for Technological Education Celso Suckow da Fonseca","ror":"https://ror.org/03j8tnm47","country_code":"BR","type":"education","lineage":["https://openalex.org/I1293487690","https://openalex.org/I158509141","https://openalex.org/I2801200668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Milena Faria Pinto","raw_affiliation_strings":["Centro Federal de Educa\u00e7\u00e3o Tecnol\u00f3gica Celso Suckow da Fonseca, Rio de Janeiro, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-6916-700X","affiliations":[{"raw_affiliation_string":"Centro Federal de Educa\u00e7\u00e3o Tecnol\u00f3gica Celso Suckow da Fonseca, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I158509141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095763490","display_name":"Matheus B. Jenevain","orcid":"https://orcid.org/0009-0002-1073-0587"},"institutions":[{"id":"https://openalex.org/I101100930","display_name":"Universidade Federal de Juiz de Fora","ror":"https://ror.org/04yqw9c44","country_code":"BR","type":"education","lineage":["https://openalex.org/I101100930"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Matheus Jenevain","raw_affiliation_strings":["Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil"],"raw_orcid":"https://orcid.org/0009-0002-1073-0587","affiliations":[{"raw_affiliation_string":"Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil","institution_ids":["https://openalex.org/I101100930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070304097","display_name":"La\u00eds Rios Berno","orcid":"https://orcid.org/0000-0002-9166-9775"},"institutions":[{"id":"https://openalex.org/I101100930","display_name":"Universidade Federal de Juiz de Fora","ror":"https://ror.org/04yqw9c44","country_code":"BR","type":"education","lineage":["https://openalex.org/I101100930"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lais Rios Berno","raw_affiliation_strings":["Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-9166-9775","affiliations":[{"raw_affiliation_string":"Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil","institution_ids":["https://openalex.org/I101100930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016712083","display_name":"Igor Machado Coelho","orcid":"https://orcid.org/0000-0001-6373-4907"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Igor Machado Coelho","raw_affiliation_strings":["Universidade Federal Fluminense, Niteroi, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-6373-4907","affiliations":[{"raw_affiliation_string":"Universidade Federal Fluminense, Niteroi, Brazil","institution_ids":["https://openalex.org/I161127581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21941163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"179","last_page":"182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/descent","display_name":"Descent (aeronautics)","score":0.7979745268821716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.666824221611023},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6614397168159485},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.6291331052780151},{"id":"https://openalex.org/keywords/variable-neighborhood-search","display_name":"Variable neighborhood search","score":0.5958081483840942},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5385651588439941},{"id":"https://openalex.org/keywords/rescue-robot","display_name":"Rescue robot","score":0.42546141147613525},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4063718616962433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38336578011512756},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.3548525869846344},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.1905517578125},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1476186215877533},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1291923224925995}],"concepts":[{"id":"https://openalex.org/C2776637919","wikidata":"https://www.wikidata.org/wiki/Q624380","display_name":"Descent (aeronautics)","level":2,"score":0.7979745268821716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.666824221611023},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6614397168159485},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.6291331052780151},{"id":"https://openalex.org/C2776435737","wikidata":"https://www.wikidata.org/wiki/Q7915703","display_name":"Variable neighborhood search","level":3,"score":0.5958081483840942},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5385651588439941},{"id":"https://openalex.org/C17006198","wikidata":"https://www.wikidata.org/wiki/Q7315030","display_name":"Rescue robot","level":4,"score":0.42546141147613525},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4063718616962433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38336578011512756},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.3548525869846344},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.1905517578125},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1476186215877533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1291923224925995},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3712255.3726707","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3712255.3726707","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1972391046","https://openalex.org/W2010334716","https://openalex.org/W2118548017","https://openalex.org/W2126105956","https://openalex.org/W2916340702","https://openalex.org/W2999083279","https://openalex.org/W3166970238","https://openalex.org/W4385155193","https://openalex.org/W4400646281"],"related_works":["https://openalex.org/W2486267010","https://openalex.org/W4298096494","https://openalex.org/W1678820847","https://openalex.org/W2559216629","https://openalex.org/W1553684505","https://openalex.org/W1607707911","https://openalex.org/W2037211941","https://openalex.org/W2042403445","https://openalex.org/W2093543776","https://openalex.org/W2539590082"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,49],"hybrid":[4],"optimization":[5],"approach":[6],"combining":[7],"the":[8,13,54,97],"global":[9],"search":[10],"capabilities":[11],"of":[12,81],"Non-Dominated":[14],"Sorting":[15],"Genetic":[16],"Algorithm":[17],"II":[18],"(NSGA-II)":[19],"with":[20],"Variable":[21],"Neighborhood":[22],"Descent":[23],"(VND).":[24],"The":[25],"proposed":[26],"methodology":[27],"addresses":[28],"critical":[29],"SAR":[30,116],"operations":[31],"objectives,":[32],"such":[33],"as":[34],"minimizing":[35],"mission":[36,89],"completion":[37,90],"time,":[38],"prioritizing":[39],"high-impact":[40],"tasks,":[41],"and":[42,57,70,86],"balancing":[43],"UAV":[44],"energy":[45],"consumption.":[46],"NSGA-II":[47],"provides":[48],"robust":[50],"framework":[51,99],"for":[52,67,111],"exploring":[53],"solution":[55],"space":[56],"generating":[58],"diverse":[59],"Pareto-optimal":[60],"solutions,":[61],"while":[62],"VND":[63],"systematically":[64],"refines":[65],"them":[66],"better":[68],"convergence":[69],"quality.":[71],"Simulation":[72],"results":[73],"indicate":[74],"statistically":[75],"significant":[76],"improvements,":[77],"achieving":[78],"average":[79],"reductions":[80],"4.80%":[82],"in":[83,88,106,114],"travel":[84],"distance":[85],"8.91%":[87],"time":[91],"compared":[92],"to":[93],"standalone":[94],"NSGA-II.":[95],"Although":[96],"current":[98],"does":[100],"not":[101],"support":[102],"dynamic":[103],"task":[104],"reassignment":[105],"real-time,":[107],"it":[108],"demonstrates":[109],"potential":[110],"practical":[112],"applications":[113],"static":[115],"scenarios.":[117]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}