{"id":"https://openalex.org/W4410389239","doi":"https://doi.org/10.1016/j.aei.2025.103428","title":"Evolutionary attraction\u2013repulsion algorithm embedded with LLM for UAV task allocation","display_name":"Evolutionary attraction\u2013repulsion algorithm embedded with LLM for UAV task allocation","publication_year":2025,"publication_date":"2025-05-15","ids":{"openalex":"https://openalex.org/W4410389239","doi":"https://doi.org/10.1016/j.aei.2025.103428"},"language":"en","primary_location":{"id":"doi:10.1016/j.aei.2025.103428","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.aei.2025.103428","pdf_url":null,"source":{"id":"https://openalex.org/S112141509","display_name":"Advanced Engineering Informatics","issn_l":"1474-0346","issn":["1474-0346","1873-5320"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Engineering Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.aei.2025.103428","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101512079","display_name":"Bowen Wu","orcid":"https://orcid.org/0000-0001-6631-8722"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bowen Wu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101639741","display_name":"Renbin Xiao","orcid":"https://orcid.org/0000-0002-0952-3073"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Renbin Xiao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101512079"],"corresponding_institution_ids":[],"apc_list":{"value":3570,"currency":"USD","value_usd":3570},"apc_paid":{"value":3570,"currency":"USD","value_usd":3570},"fwci":11.3805,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97997303,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"66","issue":null,"first_page":"103428","last_page":"103428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9979000091552734,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9976000189781189,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.996999979019165,"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/task","display_name":"Task (project management)","score":0.6111374497413635},{"id":"https://openalex.org/keywords/attraction","display_name":"Attraction","score":0.5201299786567688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5129110813140869},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4562578797340393},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4239968955516815},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34619152545928955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3292708396911621},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2735205888748169},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21818727254867554},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.1576792299747467}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6111374497413635},{"id":"https://openalex.org/C2778364177","wikidata":"https://www.wikidata.org/wiki/Q2247133","display_name":"Attraction","level":2,"score":0.5201299786567688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5129110813140869},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4562578797340393},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4239968955516815},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34619152545928955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3292708396911621},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2735205888748169},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21818727254867554},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.1576792299747467},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.aei.2025.103428","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.aei.2025.103428","pdf_url":null,"source":{"id":"https://openalex.org/S112141509","display_name":"Advanced Engineering Informatics","issn_l":"1474-0346","issn":["1474-0346","1873-5320"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Engineering Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.aei.2025.103428","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.aei.2025.103428","pdf_url":null,"source":{"id":"https://openalex.org/S112141509","display_name":"Advanced Engineering Informatics","issn_l":"1474-0346","issn":["1474-0346","1873-5320"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Engineering Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1992767520","https://openalex.org/W1996542214","https://openalex.org/W2011303397","https://openalex.org/W2035338856","https://openalex.org/W2086899901","https://openalex.org/W2131235969","https://openalex.org/W2141119792","https://openalex.org/W2142053997","https://openalex.org/W2411835395","https://openalex.org/W2748840665","https://openalex.org/W2756174616","https://openalex.org/W2838372557","https://openalex.org/W2885176680","https://openalex.org/W2950680102","https://openalex.org/W2956022080","https://openalex.org/W2957052833","https://openalex.org/W2989838112","https://openalex.org/W3011378133","https://openalex.org/W3113208179","https://openalex.org/W3171752851","https://openalex.org/W3186437454","https://openalex.org/W4237795812","https://openalex.org/W4280591794","https://openalex.org/W4285681481","https://openalex.org/W4321015392","https://openalex.org/W4361289889","https://openalex.org/W4367000100","https://openalex.org/W4382246105","https://openalex.org/W4387460535","https://openalex.org/W4389727268","https://openalex.org/W4389933118","https://openalex.org/W4390647620","https://openalex.org/W4393416373","https://openalex.org/W4396723768","https://openalex.org/W4401046681","https://openalex.org/W4402637902","https://openalex.org/W4404433713","https://openalex.org/W4404731242","https://openalex.org/W4409796076","https://openalex.org/W6602526659","https://openalex.org/W6719853592","https://openalex.org/W6753128521","https://openalex.org/W6765949483","https://openalex.org/W6778883912","https://openalex.org/W6869399274"],"related_works":["https://openalex.org/W4386786398","https://openalex.org/W2138293586","https://openalex.org/W4282832460","https://openalex.org/W4319783074","https://openalex.org/W4255464147","https://openalex.org/W2080052720","https://openalex.org/W1503179180","https://openalex.org/W4319778501","https://openalex.org/W4409308958","https://openalex.org/W2887328214"],"abstract_inverted_index":{"Labor":[0],"division":[1,41,131],"provides":[2],"an":[3,36,75],"adaptive":[4,126],"and":[5,26,72,125],"scalable":[6],"technique":[7],"for":[8,128,152],"unmanned":[9],"systems.":[10],"However,":[11],"its":[12],"designing":[13,129],"process":[14],"usually":[15],"relies":[16],"heavily":[17],"on":[18],"the":[19,48,79,83,111,117,120,135,143,147,179,191,195],"manually":[20],"crafted":[21],"paradigms,":[22],"leading":[23],"to":[24,39,68,95,146,200],"inefficiencies":[25],"insufficient":[27],"performance.":[28],"To":[29,133],"overcome":[30],"these":[31],"challenges,":[32],"this":[33,70],"paper":[34],"introduce":[35],"evolutionary":[37],"approach":[38],"labor":[40,130],"algorithm":[42],"design":[43],".":[44],"Drawing":[45],"inspiration":[46],"from":[47],"regulatory":[49],"behaviors":[50],"observed":[51],"in":[52,116],"natural":[53],"lion":[54],"populations,":[55],"we":[56,73,90,141],"propose":[57],"a":[58,97,107,123,169],"bipolar":[59],"feedback-guided":[60],"attraction\u2013repulsion":[61],"mechanism.":[62],"A":[63],"formal":[64],"model":[65,100],"is":[66,183,198],"developed":[67],"encapsulate":[69],"mechanism,":[71,105],"provide":[74],"in-depth":[76],"analysis":[77],"of":[78,85,119,138,187,203],"algorithm\u2019s":[80],"evolution":[81],"through":[82],"framework":[84,145],"systems":[86],"science.":[87],"In":[88,168],"addition,":[89],"leverage":[91],"prompt":[92],"engineering":[93],"techniques":[94],"integrate":[96],"large":[98],"language":[99],"(LLM)":[101],"with":[102,175],"our":[103,139,162],"proposed":[104],"facilitating":[106],"bidirectional":[108],"enhancement":[109],"between":[110],"two.":[112],"This":[113],"integration":[114],"culminates":[115],"development":[118],"ARE-LLM":[121,144],"framework,":[122],"robust":[124],"solution":[127],"algorithms.":[132],"demonstrate":[134],"practical":[136],"applicability":[137],"approach,":[140],"apply":[142],"UAV-based":[148],"task":[149],"allocation":[150],"problem":[151],"enemy":[153],"air":[154],"defense":[155],"suppression.":[156],"The":[157],"experimental":[158],"results":[159],"indicate":[160],"that":[161,188,204],"method":[163],"outperforms":[164],"several":[165],"advanced":[166],"approaches.":[167],"scenario":[170],"involving":[171],"50":[172],"UAVs":[173],"tasked":[174],"completing":[176],"300":[177],"assignments,":[178],"total":[180],"distance":[181],"traveled":[182],"only":[184],"9":[185],"%":[186,202],"required":[189],"by":[190,206],"ALPDA":[192],"algorithm,":[193],"while":[194],"processing":[196],"time":[197],"reduced":[199],"8":[201],"used":[205],"ALPDA.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-04T07:04:00.330322","created_date":"2025-10-10T00:00:00"}
