{"id":"https://openalex.org/W4406753750","doi":"https://doi.org/10.1109/tits.2024.3517879","title":"Continuous Berth Allocation and Time-Variant Quay Crane Assignment: Memetic Algorithm With a Heuristic Decoding Method","display_name":"Continuous Berth Allocation and Time-Variant Quay Crane Assignment: Memetic Algorithm With a Heuristic Decoding Method","publication_year":2025,"publication_date":"2025-01-23","ids":{"openalex":"https://openalex.org/W4406753750","doi":"https://doi.org/10.1109/tits.2024.3517879"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3517879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3517879","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5100548443","display_name":"Lisha Xu","orcid":"https://orcid.org/0000-0002-1187-821X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li-Sha Xu","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052898786","display_name":"Ting Huang","orcid":"https://orcid.org/0000-0002-8755-043X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Huang","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031251972","display_name":"Bowen Zhao","orcid":"https://orcid.org/0000-0001-9864-9729"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo-Wen Zhao","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063438356","display_name":"Yue\u2010Jiao Gong","orcid":"https://orcid.org/0000-0002-5648-1160"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue-Jiao Gong","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100375038","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0002-6834-5350"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100548443"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":8.5176,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.97157212,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"26","issue":"3","first_page":"3387","last_page":"3401"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9847000241279602,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9847000241279602,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9810000061988831,"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/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.9603000283241272,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6890377998352051},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6803433299064636},{"id":"https://openalex.org/keywords/memetic-algorithm","display_name":"Memetic algorithm","score":0.6635933518409729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5778536796569824},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5532193779945374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.514602780342102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3284364640712738},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.28851252794265747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20660656690597534}],"concepts":[{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6890377998352051},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6803433299064636},{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.6635933518409729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5778536796569824},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5532193779945374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.514602780342102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3284364640712738},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.28851252794265747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20660656690597534}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2024.3517879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3517879","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4520797107","display_name":null,"funder_award_id":"62471371","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4695276378","display_name":null,"funder_award_id":"ZYTS24164","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4923232272","display_name":null,"funder_award_id":"202206030003","funder_id":"https://openalex.org/F4320336589","funder_display_name":"Guangxi Key Research and Development Program"},{"id":"https://openalex.org/G8567939248","display_name":null,"funder_award_id":"62206212","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336589","display_name":"Guangxi Key Research and Development Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W887256728","https://openalex.org/W1220400756","https://openalex.org/W1963666355","https://openalex.org/W1965266510","https://openalex.org/W1965361176","https://openalex.org/W1967944787","https://openalex.org/W1968350460","https://openalex.org/W1976441631","https://openalex.org/W1976473152","https://openalex.org/W1989743970","https://openalex.org/W1999787445","https://openalex.org/W2003811609","https://openalex.org/W2010615442","https://openalex.org/W2031077466","https://openalex.org/W2040490415","https://openalex.org/W2047954155","https://openalex.org/W2053394880","https://openalex.org/W2053586412","https://openalex.org/W2055959567","https://openalex.org/W2069479298","https://openalex.org/W2073922221","https://openalex.org/W2082330633","https://openalex.org/W2092879173","https://openalex.org/W2094708941","https://openalex.org/W2106627552","https://openalex.org/W2109341356","https://openalex.org/W2123381717","https://openalex.org/W2501328781","https://openalex.org/W2591313086","https://openalex.org/W2613964231","https://openalex.org/W2614841130","https://openalex.org/W2618401921","https://openalex.org/W2620332905","https://openalex.org/W2737883786","https://openalex.org/W2738369941","https://openalex.org/W2784614186","https://openalex.org/W2792486685","https://openalex.org/W2838782970","https://openalex.org/W2920919845","https://openalex.org/W2925788520","https://openalex.org/W2938268415","https://openalex.org/W2944648834","https://openalex.org/W2974728448","https://openalex.org/W3042585420","https://openalex.org/W3089369613","https://openalex.org/W3124512532","https://openalex.org/W3127145508","https://openalex.org/W3160958776","https://openalex.org/W4206323263","https://openalex.org/W4225289259","https://openalex.org/W4229678751","https://openalex.org/W4284704097","https://openalex.org/W4285209931","https://openalex.org/W4313166648","https://openalex.org/W4320005606","https://openalex.org/W4382045599","https://openalex.org/W4393002679","https://openalex.org/W4394896840","https://openalex.org/W4400579130"],"related_works":["https://openalex.org/W2010336970","https://openalex.org/W2051487156","https://openalex.org/W4205193211","https://openalex.org/W3034364924","https://openalex.org/W3196925172","https://openalex.org/W3091613133","https://openalex.org/W2102350580","https://openalex.org/W337252817","https://openalex.org/W2095999126","https://openalex.org/W2127516144"],"abstract_inverted_index":{"The":[0,82,107,134],"significance":[1],"of":[2,12,42,166,170],"maritime":[3,21],"transportation":[4],"highlights":[5],"the":[6,10,24,47,94,98,112,117,121,128,131,139,158],"need":[7],"to":[8,101,151],"enhance":[9],"efficiency":[11],"container":[13],"terminals.":[14],"This":[15],"study":[16],"addresses":[17],"a":[18,38,56,67,72,77],"challenge":[19],"within":[20],"transportation,":[22],"specifically":[23],"continuous":[25],"berth":[26,171],"allocation":[27,129],"and":[28,76,90,115,173],"time-variant":[29],"quay":[30],"crane":[31],"assignment":[32],"problem":[33,178],"(C/T-V":[34],"BACAP).":[35],"We":[36],"formulate":[37],"comprehensive":[39],"mathematical":[40],"model":[41],"C/T-V":[43],"BACAP.":[44],"To":[45],"solve":[46],"problem,":[48],"we":[49],"propose":[50],"an":[51,163],"effective":[52],"memetic":[53],"algorithm":[54,141],"with":[55],"heuristic":[57,69,84],"decoding":[58,70,85],"method,":[59,71],"named":[60],"HMA,":[61],"which":[62],"comprises":[63],"three":[64],"essential":[65],"components:":[66],"three-stage":[68,83],"clustering-based":[73,108],"evolutionary":[74,109],"strategy,":[75],"target-guided":[78,122],"local":[79,123],"search":[80,105,113,124],"operator.":[81],"method":[86,156],"guarantees":[87],"solution":[88],"feasibility":[89],"high":[91],"quality":[92],"through":[93],"entire":[95],"optimization,":[96],"allowing":[97],"following":[99],"strategies":[100],"fully":[102],"utilize":[103],"their":[104],"capabilities.":[106],"strategy":[110],"refines":[111],"space":[114],"diversifies":[116],"promising":[118],"candidates.":[119],"Meanwhile,":[120],"operator":[125],"rapidly":[126],"optimizes":[127],"for":[130],"challenging":[132],"vessel.":[133],"experimental":[135],"results":[136],"demonstrate":[137],"that":[138],"proposed":[140,155],"delivers":[142],"excellent":[143],"performance,":[144],"especially":[145],"in":[146,168,176],"handling":[147],"large-scale":[148],"instances":[149],"(up":[150],"60":[152],"vessels).":[153],"Our":[154],"outperforms":[157],"state-of-the-art":[159],"BACAP":[160],"algorithms":[161],"by":[162],"average":[164],"margin":[165],"150%":[167],"terms":[169],"offset":[172],"waiting":[174],"time":[175],"most":[177],"instances.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
