{"id":"https://openalex.org/W4406891676","doi":"https://doi.org/10.1109/tevc.2025.3535954","title":"A Deep Reinforcement Learning-Assisted Multimodal Multiobjective Bilevel Optimization Method for Multirobot Task Allocation","display_name":"A Deep Reinforcement Learning-Assisted Multimodal Multiobjective Bilevel Optimization Method for Multirobot Task Allocation","publication_year":2025,"publication_date":"2025-01-28","ids":{"openalex":"https://openalex.org/W4406891676","doi":"https://doi.org/10.1109/tevc.2025.3535954"},"language":"en","primary_location":{"id":"doi:10.1109/tevc.2025.3535954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2025.3535954","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-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":null,"display_name":"Yuanyuan Yu","orcid":"https://orcid.org/0009-0000-9751-3205"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Yu","raw_affiliation_strings":["Logistics Research Center, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0000-9751-3205","affiliations":[{"raw_affiliation_string":"Logistics Research Center, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006334165","display_name":"Qirong Tang","orcid":"https://orcid.org/0000-0002-5541-4660"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qirong Tang","raw_affiliation_strings":["Laboratory of Robotics and Multibody System, Tongji University, Shanghai, China","Laboratory of Robotics and Multibody System, Tongji University, Shanghai, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-5541-4660","affiliations":[{"raw_affiliation_string":"Laboratory of Robotics and Multibody System, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Laboratory of Robotics and Multibody System, Tongji University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033312589","display_name":"Qingchao Jiang","orcid":"https://orcid.org/0000-0002-3402-9018"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingchao Jiang","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","Ministry of Education, Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3402-9018","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":null,"display_name":"Qinqin Fan","orcid":"https://orcid.org/0000-0002-8603-5161"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinqin Fan","raw_affiliation_strings":["Logistics Research Center, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8603-5161","affiliations":[{"raw_affiliation_string":"Logistics Research Center, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":36.7094,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.99730176,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"29","issue":"3","first_page":"574","last_page":"588"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9603999853134155,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9603999853134155,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7557125091552734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7202679514884949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6609908938407898},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6384056210517883},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5095203518867493},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4419270157814026},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4248008728027344},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4114364683628082},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37755459547042847},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3329891562461853},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13037511706352234},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12632113695144653}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7557125091552734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7202679514884949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6609908938407898},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6384056210517883},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5095203518867493},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4419270157814026},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4248008728027344},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4114364683628082},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37755459547042847},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3329891562461853},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13037511706352234},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12632113695144653},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tevc.2025.3535954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2025.3535954","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2676144980","display_name":null,"funder_award_id":"23YJAZH029","funder_id":"https://openalex.org/F4320336751","funder_display_name":"Science Foundation of Ministry of Education of China"},{"id":"https://openalex.org/G5754312115","display_name":null,"funder_award_id":"61603244","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336751","display_name":"Science Foundation of Ministry of Education of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W90049316","https://openalex.org/W1857789879","https://openalex.org/W2126366668","https://openalex.org/W2142544818","https://openalex.org/W2310612427","https://openalex.org/W2515724774","https://openalex.org/W2531521796","https://openalex.org/W2537392705","https://openalex.org/W2602612673","https://openalex.org/W2758008099","https://openalex.org/W2883485678","https://openalex.org/W2944823003","https://openalex.org/W2948175577","https://openalex.org/W2964266567","https://openalex.org/W2979640675","https://openalex.org/W2981587540","https://openalex.org/W3004241403","https://openalex.org/W3004560882","https://openalex.org/W3023923733","https://openalex.org/W3044603354","https://openalex.org/W3092033667","https://openalex.org/W3094311502","https://openalex.org/W3150257791","https://openalex.org/W3152770304","https://openalex.org/W3160398558","https://openalex.org/W3168955240","https://openalex.org/W3183976931","https://openalex.org/W3191751572","https://openalex.org/W3214401503","https://openalex.org/W4200033681","https://openalex.org/W4200311228","https://openalex.org/W4200317942","https://openalex.org/W4210879033","https://openalex.org/W4226197570","https://openalex.org/W4288064552","https://openalex.org/W4306161131","https://openalex.org/W4307029591","https://openalex.org/W4317756894","https://openalex.org/W4366978252","https://openalex.org/W4379470413","https://openalex.org/W4382050651","https://openalex.org/W4382069603","https://openalex.org/W4383315688","https://openalex.org/W4385392010","https://openalex.org/W4386839307","https://openalex.org/W4390506106","https://openalex.org/W4392007398","https://openalex.org/W6603615271","https://openalex.org/W6605509280","https://openalex.org/W6631190155","https://openalex.org/W6683195989","https://openalex.org/W6692846177","https://openalex.org/W6730742100","https://openalex.org/W6748487558"],"related_works":["https://openalex.org/W3213722473","https://openalex.org/W2110944602","https://openalex.org/W1564680838","https://openalex.org/W2003125260","https://openalex.org/W2060591604","https://openalex.org/W1992291644","https://openalex.org/W2967461658","https://openalex.org/W2166791242","https://openalex.org/W2585162246","https://openalex.org/W1934413089"],"abstract_inverted_index":{"Multirobot":[0],"task":[1,67,111,195],"allocation":[2,112],"(MRTA)":[3],"is":[4,101,115,122,139,165],"a":[5,38,55,82,169,229],"challenging":[6],"bi-level":[7,76,162,237],"problem":[8,131,138,164,239],"in":[9,33,41,75,199],"the":[10,48,108,110,118,135,150,155,158,161,175,178,200,208,234],"multirobot":[11],"cooperative":[12],"systems":[13],"(MRCSs)":[14],"and":[15,69,94,146,185,192],"offers":[16,228],"an":[17,125],"effective":[18],"method":[19,143,152],"for":[20,61],"addressing":[21],"complex":[22],"tasks.":[23],"However,":[24],"dynamic":[25,221],"/uncertain":[26],"environments":[27,68,222],"can":[28],"easily":[29],"invalidate":[30],"original":[31],"schemes":[32,60,218],"practical":[34],"MRTA":[35,42,62,105,182,188],"decision-makings.":[36],"Further,":[37],"nested":[39],"structure":[40],"problems":[43,63],"makes":[44],"computational":[45,242],"expensive.":[46],"Therefore,":[47],"two":[49,186],"main":[50],"tasks":[51],"are":[52,197],"1)":[53],"finding":[54],"sufficient":[56],"number":[57],"of":[58,157,177],"equivalent":[59,216],"to":[64,66,103,153,219,232],"adapt":[65],"2)":[70],"improving":[71],"algorithm":[72,86],"search":[73,97],"efficiency":[74],"optimization":[77,120,137,163,171,238],"problems.":[78,106],"In":[79,107],"this":[80],"study,":[81],"multimodal":[83,235],"multiobjective":[84,236],"evolutionary":[85],"(MMOEA)":[87],"based":[88],"on":[89],"deep":[90],"reinforcement":[91],"learning":[92],"(DRL)":[93],"large":[95],"neighborhood":[96],"(LNS),":[98],"called":[99],"MMOEA-DL,":[100,109],"proposed":[102,179],"solve":[104,233],"problem,":[113,121],"which":[114],"considered":[116],"as":[117,134],"upper-level":[119],"solved":[123],"using":[124],"improved":[126],"MMOEA.":[127],"The":[128,203],"traveling":[129],"salesman":[130],"(TSP)":[132],"regarded":[133],"lower-level":[136,159],"addressed":[140],"via":[141],"end-to-end":[142,151],"(i.e.,":[144],"DRL)":[145],"LNS.":[147],"By":[148],"leveraging":[149],"obtain":[154],"results":[156,205],"optimization,":[160],"effectively":[166],"transformed":[167],"into":[168],"single-level":[170],"problem.":[172],"To":[173],"demonstrate":[174],"performance":[176],"algorithm,":[180],"16":[181],"simulation":[183,204],"scenarios":[184,189],"actual":[187],"with":[190,214],"evenly":[191],"unevenly":[193],"distributed":[194],"points":[196],"introduced":[198],"present":[201],"study.":[202],"verify":[206],"that":[207],"MMOEA-DL":[209],"not":[210],"only":[211],"provides":[212],"decision-makers":[213],"expanded":[215],"optimal":[217],"address":[220],"or":[223],"unforeseen":[224],"circumstances,":[225],"but":[226],"also":[227],"novel":[230],"approach":[231],"while":[240],"saving":[241],"costs.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":17},{"year":2025,"cited_by_count":13}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}