{"id":"https://openalex.org/W4416250162","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227590","title":"Dynamic Scheduling of Airport Flights with Graph Neural Networks","display_name":"Dynamic Scheduling of Airport Flights with Graph Neural Networks","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250162","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227590"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5102014329","display_name":"Siyu Sun","orcid":"https://orcid.org/0000-0002-7308-0473"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siyu Sun","raw_affiliation_strings":["Purdue University,Mitchell E. Daniels, Jr. School of Business,West Lafayette,IN,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University,Mitchell E. Daniels, Jr. School of Business,West Lafayette,IN,USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060691608","display_name":"Xinyi Zhou","orcid":"https://orcid.org/0000-0003-1126-6333"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xinyi Zhou","raw_affiliation_strings":["Concordia University,Concordia Institute for Information Systems Engineering (CIISE),Montreal,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University,Concordia Institute for Information Systems Engineering (CIISE),Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11489","display_name":"Air Traffic Management and Optimization","score":0.9398999810218811,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11489","display_name":"Air Traffic Management and Optimization","score":0.9398999810218811,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11133","display_name":"UAV Applications and Optimization","score":0.019099999219179153,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11599","display_name":"Aviation Industry Analysis and Trends","score":0.011800000444054604,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6237999796867371},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.5659999847412109},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5153999924659729},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.48660001158714294},{"id":"https://openalex.org/keywords/air-traffic-control","display_name":"Air traffic control","score":0.4293999969959259},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.3901999890804291},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.36820000410079956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6855000257492065},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6237999796867371},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.5659999847412109},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5153999924659729},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.48660001158714294},{"id":"https://openalex.org/C166961238","wikidata":"https://www.wikidata.org/wiki/Q221395","display_name":"Air traffic control","level":2,"score":0.4293999969959259},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.3901999890804291},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.36820000410079956},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3467999994754791},{"id":"https://openalex.org/C2776777543","wikidata":"https://www.wikidata.org/wiki/Q1361182","display_name":"Air traffic management","level":3,"score":0.3140000104904175},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29409998655319214},{"id":"https://openalex.org/C2776544517","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Unexpected events","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.2786000072956085},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2709999978542328},{"id":"https://openalex.org/C74448152","wikidata":"https://www.wikidata.org/wiki/Q765633","display_name":"Aviation","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2547999918460846},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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":25,"referenced_works":["https://openalex.org/W2132914434","https://openalex.org/W2376557535","https://openalex.org/W3096755034","https://openalex.org/W3097769410","https://openalex.org/W3130406179","https://openalex.org/W3148921802","https://openalex.org/W3156845058","https://openalex.org/W3169802484","https://openalex.org/W3171612336","https://openalex.org/W3183749634","https://openalex.org/W3186466923","https://openalex.org/W3199911700","https://openalex.org/W3209521686","https://openalex.org/W4205138583","https://openalex.org/W4212764143","https://openalex.org/W4285079274","https://openalex.org/W4291034555","https://openalex.org/W4294862274","https://openalex.org/W4319793829","https://openalex.org/W4376626684","https://openalex.org/W4386487209","https://openalex.org/W4386880237","https://openalex.org/W4391805195","https://openalex.org/W4392303014","https://openalex.org/W4404601311"],"related_works":[],"abstract_inverted_index":{"Dynamic":[0,83],"flight":[1,31,78],"scheduling":[2,32,79],"is":[3],"critical":[4],"for":[5,59],"ensuring":[6],"efficient":[7],"airport":[8],"operations,":[9],"punctuality,":[10],"and":[11,27,55,63,96,98,114,131],"resource":[12],"optimization":[13],"in":[14,45,66,146],"response":[15],"to":[16,48,57,107,122,150],"unpredictable":[17],"factors":[18,65],"such":[19],"as":[20],"weather":[21],"changes,":[22],"air":[23],"traffic":[24],"control":[25],"restrictions,":[26],"cascading":[28],"delays.":[29],"Current":[30],"approaches,":[33],"often":[34],"relying":[35],"on":[36,82,135],"rule-based":[37],"systems":[38],"or":[39],"simplistic":[40],"mathematical":[41],"models,":[42],"face":[43],"limitations":[44],"their":[46],"responsiveness":[47],"sudden":[49],"disruptions,":[50],"lack":[51],"of":[52],"global":[53],"optimization,":[54,130],"inability":[56],"account":[58],"complex":[60],"spatiotemporal":[61],"relationships":[62],"dynamic":[64,77],"real":[67],"time.":[68],"To":[69],"address":[70],"these":[71],"challenges,":[72],"we":[73],"propose":[74],"a":[75,102],"novel":[76],"method":[80,89],"based":[81],"Graph":[84],"Neural":[85],"Networks":[86],"(DGNN).":[87],"This":[88],"models":[90],"the":[91,124,140],"interrelations":[92],"among":[93],"flights,":[94],"resources,":[95],"time,":[97],"integrates":[99],"DGNN":[100,118],"into":[101],"multi-objective":[103],"integer":[104],"programming":[105],"framework":[106],"minimize":[108],"remote":[109],"stand":[110],"assignments,":[111],"taxiing":[112],"distances,":[113],"schedule":[115],"adjustments.":[116],"Additionally,":[117],"features":[119],"are":[120],"used":[121],"enhance":[123],"NSGA-II":[125],"algorithm,":[126],"improving":[127],"initialization,":[128],"clustering-based":[129],"fitness":[132],"evaluation.":[133],"Validation":[134],"real-world":[136],"datasets":[137],"demonstrates":[138],"that":[139],"proposed":[141],"approach":[142],"achieves":[143],"significant":[144],"improvements":[145],"operational":[147],"efficiency":[148],"compared":[149],"existing":[151],"methods.":[152]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-14T00:00:00"}