{"id":"https://openalex.org/W4391582526","doi":"https://doi.org/10.1109/tevc.2024.3357819","title":"Machine Learning-Assisted Multiobjective Evolutionary Algorithm for Routing and Packing","display_name":"Machine Learning-Assisted Multiobjective Evolutionary Algorithm for Routing and Packing","publication_year":2024,"publication_date":"2024-02-06","ids":{"openalex":"https://openalex.org/W4391582526","doi":"https://doi.org/10.1109/tevc.2024.3357819"},"language":"en","primary_location":{"id":"doi:10.1109/tevc.2024.3357819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2024.3357819","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":"https://openalex.org/A5012853051","display_name":"Fei Liu","orcid":"https://orcid.org/0000-0001-6719-0409"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Fei Liu","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000546219","display_name":"Qingfu Zhang","orcid":"https://orcid.org/0000-0003-0786-0671"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qingfu Zhang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010355574","display_name":"Qingling Zhu","orcid":"https://orcid.org/0000-0002-0228-8226"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingling Zhu","raw_affiliation_strings":["National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049905353","display_name":"Xialiang Tong","orcid":"https://orcid.org/0009-0006-8153-1576"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]},{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Xialiang Tong","raw_affiliation_strings":["Huawei Noah’s Ark Lab, Shenzhen, China","Huawei Noah’s Ark Lab, Canada"],"affiliations":[{"raw_affiliation_string":"Huawei Noah’s Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Huawei Noah’s Ark Lab, Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078949174","display_name":"Mingxuan Yuan","orcid":"https://orcid.org/0000-0002-2236-8784"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]},{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Mingxuan Yuan","raw_affiliation_strings":["Huawei Noah’s Ark Lab, Hong Kong, China","Huawei Noah’s Ark Lab, Canada"],"affiliations":[{"raw_affiliation_string":"Huawei Noah’s Ark Lab, Hong Kong, China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Huawei Noah’s Ark Lab, Canada","institution_ids":["https://openalex.org/I4210115038"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5012853051"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":5.1337,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.95273445,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"29","issue":"2","first_page":"317","last_page":"330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.989799976348877,"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"}},"topics":[{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.989799976348877,"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"}},{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.9753000140190125,"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/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6214917302131653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5891497731208801},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5070207118988037},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47950154542922974},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44058912992477417},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.4307786226272583},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.42792776226997375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42345407605171204},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3291381299495697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3155086040496826}],"concepts":[{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6214917302131653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5891497731208801},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5070207118988037},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47950154542922974},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44058912992477417},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4307786226272583},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.42792776226997375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42345407605171204},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3291381299495697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3155086040496826},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tevc.2024.3357819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2024.3357819","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":[{"id":"https://metadata.un.org/sdg/9","score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1769410211","display_name":null,"funder_award_id":"CityU11215622","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1978338991","https://openalex.org/W1986685337","https://openalex.org/W2002914572","https://openalex.org/W2011690685","https://openalex.org/W2014048333","https://openalex.org/W2030502861","https://openalex.org/W2031232041","https://openalex.org/W2033777753","https://openalex.org/W2036281382","https://openalex.org/W2052751981","https://openalex.org/W2060422572","https://openalex.org/W2081338766","https://openalex.org/W2101057470","https://openalex.org/W2108090085","https://openalex.org/W2126475333","https://openalex.org/W2135855087","https://openalex.org/W2143381319","https://openalex.org/W2155839396","https://openalex.org/W2192203593","https://openalex.org/W2216946510","https://openalex.org/W2262246802","https://openalex.org/W2336722912","https://openalex.org/W2519112510","https://openalex.org/W2590578174","https://openalex.org/W2607264901","https://openalex.org/W2781626870","https://openalex.org/W2800879376","https://openalex.org/W2807637204","https://openalex.org/W2883598186","https://openalex.org/W2891186800","https://openalex.org/W2895700336","https://openalex.org/W2976056797","https://openalex.org/W3006186968","https://openalex.org/W3047863327","https://openalex.org/W3126748901","https://openalex.org/W3129082882","https://openalex.org/W3136165312","https://openalex.org/W3159134414","https://openalex.org/W3164799763","https://openalex.org/W3170112077","https://openalex.org/W3195354597","https://openalex.org/W3198765738","https://openalex.org/W3209981871","https://openalex.org/W4210713853","https://openalex.org/W4214510533","https://openalex.org/W4226394735","https://openalex.org/W6600610372","https://openalex.org/W6602002561","https://openalex.org/W6603460400","https://openalex.org/W6608206471","https://openalex.org/W6630838125","https://openalex.org/W6639175750","https://openalex.org/W6725207838","https://openalex.org/W6792219651"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W85101999","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W1560122427","https://openalex.org/W2802808995","https://openalex.org/W2593449396","https://openalex.org/W2780789525","https://openalex.org/W2787833928"],"abstract_inverted_index":{"Many":[0],"combinatorial":[1],"multiobjective":[2,47,61],"optimization":[3],"problems":[4,24],"involve":[5],"very":[6,13,43],"costly-to-evaluate":[7],"objectives":[8],"and":[9,103,126,143,164,196],"constraints.":[10],"It":[11],"is":[12,204],"difficult,":[14],"if":[15],"not":[16],"impossible,":[17],"for":[18,81],"traditional":[19],"heuristics":[20,80,102],"to":[21,45,50,70,76,115,138,147,192],"solve":[22,127,175],"these":[23],"with":[25],"an":[26,135],"acceptable":[27],"amount":[28],"of":[29,54,122,201],"computational":[30,199],"time.":[31],"In":[32],"this":[33,52],"paper,":[34],"we":[35],"show":[36,86],"that":[37,87],"offline":[38,72],"machine":[39,73,89],"learning":[40,74,90],"can":[41,92,106,174],"be":[42,93,107],"useful":[44],"assist":[46],"evolutionary":[48],"algorithms":[49],"tackle":[51],"kind":[53],"problem.":[55],"We":[56,68,112,133],"take":[57],"a":[58,120,130],"complicated":[59],"real-life":[60],"routing-packing":[62],"problem":[63,118],"as":[64,108,110],"the":[65,88,117,169,186,197],"test":[66,166,188],"bed.":[67],"propose":[69,134],"use":[71,144],"methods":[75],"replace":[77],"time-consuming":[78],"packing":[79,82,101],"feasibility":[83],"prediction.":[84],"Experiments":[85],"models":[91],"1,000":[94],"times":[95],"faster":[96],"than":[97,207],"some":[98],"commonly":[99],"used":[100],"their":[104],"accuracy":[105],"high":[109],"98%.":[111],"adopt":[113],"MOEA/D":[114],"decompose":[116],"into":[119],"number":[121],"single":[123],"objective":[124],"subproblems":[125],"them":[128],"in":[129,179],"collaborative":[131],"manner.":[132],"encoding":[136],"strategy":[137],"represent":[139],"each":[140,176],"routing":[141],"scheme":[142],"genetic":[145],"operators":[146],"generate":[148],"new":[149],"routes.":[150],"Experimental":[151],"studies":[152],"have":[153],"been":[154],"conducted":[155],"on":[156,185],"100":[157],"instances":[158],"from":[159,168],"HUAWEI\u2019s":[160],"real-world":[161],"logistics":[162],"application":[163],"two":[165,187],"suites":[167,189],"literature.":[170],"Our":[171,183],"proposed":[172],"method":[173,203],"HUAWEI":[177],"instance":[178],"around":[180],"one":[181],"minute.":[182],"solutions":[184],"are":[190],"comparable":[191],"other":[193],"existing":[194],"algorithms,":[195],"overall":[198],"cost":[200],"our":[202],"significantly":[205],"lower":[206],"others.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}