{"id":"https://openalex.org/W7166059444","doi":"https://doi.org/10.1007/s10489-026-07334-7","title":"Optimizing time slot allocation in complex multi-dock truck loading and unloading operations using evolutionary algorithms","display_name":"Optimizing time slot allocation in complex multi-dock truck loading and unloading operations using evolutionary algorithms","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7166059444","doi":"https://doi.org/10.1007/s10489-026-07334-7"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-026-07334-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-026-07334-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-026-07334-7.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10489-026-07334-7.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055939947","display_name":"Enol Garc\u00eda Gonz\u00e1lez","orcid":"https://orcid.org/0000-0001-7125-9421"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Enol Garc\u00eda Gonz\u00e1lez","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7125-9421","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138509972","display_name":"Jose R. Villar","orcid":null},"institutions":[{"id":"https://openalex.org/I165339363","display_name":"Universidad de Oviedo","ror":"https://ror.org/006gksa02","country_code":"ES","type":"education","lineage":["https://openalex.org/I165339363"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jos\u00e9 R. Villar","raw_affiliation_strings":["Computer Science Department, University of Oviedo, Gij\u00f3n, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Oviedo, Gij\u00f3n, Spain","institution_ids":["https://openalex.org/I165339363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020890536","display_name":"Javier Sedano","orcid":"https://orcid.org/0000-0002-4191-8438"},"institutions":[{"id":"https://openalex.org/I4210113112","display_name":"Technological Institute of Castilla y Le\u00f3n","ror":"https://ror.org/01f3b0g09","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I4210113112"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Javier Sedano","raw_affiliation_strings":["Instituto Tecnologico de Castilla y Leon, Burgos, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Tecnologico de Castilla y Leon, Burgos, Spain","institution_ids":["https://openalex.org/I4210113112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009798916","display_name":"Camelia Chira","orcid":"https://orcid.org/0000-0002-1949-1298"},"institutions":[{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Camelia Chira","raw_affiliation_strings":["Department of Computer Science, Babes-Bolyai University, Faculty of Mathematics and Computer Science, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Babes-Bolyai University, Faculty of Mathematics and Computer Science, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I3125347698"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009798916","https://openalex.org/A5020890536","https://openalex.org/A5138509972"],"corresponding_institution_ids":["https://openalex.org/I165339363","https://openalex.org/I3125347698","https://openalex.org/I4210113112"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.76597637,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"56","issue":"9","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11223","display_name":"Maritime Ports and Logistics","score":0.37869998812675476,"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/T11223","display_name":"Maritime Ports and Logistics","score":0.37869998812675476,"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":0.2904999852180481,"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/T12177","display_name":"Resource-Constrained Project Scheduling","score":0.04619999974966049,"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/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.7592999935150146},{"id":"https://openalex.org/keywords/truck","display_name":"Truck","score":0.7590000033378601},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.6789000034332275},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5842999815940857},{"id":"https://openalex.org/keywords/allotment","display_name":"Allotment","score":0.5522000193595886},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.49779999256134033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8180999755859375},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.7592999935150146},{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.7590000033378601},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.6789000034332275},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5842999815940857},{"id":"https://openalex.org/C2775999810","wikidata":"https://www.wikidata.org/wiki/Q8054653","display_name":"Allotment","level":2,"score":0.5522000193595886},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.49779999256134033},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4564000070095062},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4544000029563904},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.42980000376701355},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3698999881744385},{"id":"https://openalex.org/C121835503","wikidata":"https://www.wikidata.org/wiki/Q2596288","display_name":"Evolutionary programming","level":3,"score":0.30709999799728394},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.2784999907016754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26759999990463257}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-026-07334-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-026-07334-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-026-07334-7.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10489-026-07334-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-026-07334-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-026-07334-7.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4414739080","display_name":null,"funder_award_id":"334906","funder_id":"https://openalex.org/F4320311068","funder_display_name":"Health Resources in Action"}],"funders":[{"id":"https://openalex.org/F4320311068","display_name":"Health Resources in Action","ror":"https://ror.org/01ctnwa22"},{"id":"https://openalex.org/F4320323823","display_name":"Universidad de Oviedo","ror":"https://ror.org/006gksa02"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166059444.pdf","grobid_xml":"https://content.openalex.org/works/W7166059444.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1680158302","https://openalex.org/W1965566629","https://openalex.org/W2000164994","https://openalex.org/W2043353332","https://openalex.org/W2065459611","https://openalex.org/W2077266619","https://openalex.org/W2106086372","https://openalex.org/W2112912151","https://openalex.org/W2128926660","https://openalex.org/W2155640378","https://openalex.org/W2161227829","https://openalex.org/W2254351118","https://openalex.org/W2342839992","https://openalex.org/W2343690045","https://openalex.org/W2581583102","https://openalex.org/W2771726686","https://openalex.org/W2793630626","https://openalex.org/W2885265221","https://openalex.org/W2960629827","https://openalex.org/W2977433423","https://openalex.org/W2987975032","https://openalex.org/W3007249796","https://openalex.org/W3036048071","https://openalex.org/W3110622722","https://openalex.org/W3121753118","https://openalex.org/W3125405874","https://openalex.org/W3127453859","https://openalex.org/W3140120893","https://openalex.org/W3146747040","https://openalex.org/W3174986491","https://openalex.org/W4200400523","https://openalex.org/W4205959324","https://openalex.org/W4292241640","https://openalex.org/W4304127922","https://openalex.org/W4307399045","https://openalex.org/W4308499342","https://openalex.org/W4309630309","https://openalex.org/W4386269756","https://openalex.org/W4386281110","https://openalex.org/W4386350739","https://openalex.org/W4404205257","https://openalex.org/W4404456797","https://openalex.org/W4406417391","https://openalex.org/W4406736871","https://openalex.org/W4409638695","https://openalex.org/W4409907564","https://openalex.org/W4417201059"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"This":[1],"study":[2],"focuses":[3],"on":[4],"an":[5],"industrial":[6],"facility\u2019s":[7],"time-slot":[8],"allotment":[9],"(TSA)":[10],"problem,":[11,61],"where":[12],"loading":[13],"and":[14,42,90],"unloading":[15],"docks":[16],"are":[17],"assigned":[18],"to":[19,34,80],"the":[20,24,35,55,59,63,70,73,76,87,102],"incoming":[21],"lorries,":[22],"reducing":[23],"number":[25,64],"of":[26,47,58,65],"them":[27],"waiting":[28],"for":[29],"service.":[30],"Several":[31],"constraints":[32],"apply":[33],"different":[36],"dock":[37],"stations,":[38],"including":[39],"disparate":[40],"timetables":[41],"task":[43],"duration,":[44],"various":[45],"capacities":[46],"simultaneous":[48],"services,":[49],"etc.":[50],"Evolutionary":[51],"algorithms":[52],"cope":[53],"with":[54,98,109],"enormous":[56],"variability":[57],"combinatorial":[60],"maximizing":[62],"accepted":[66],"lorries":[67],"while":[68],"decreasing":[69],"queue":[71],"at":[72],"entrance.":[74],"Interestingly,":[75],"problem\u2019s":[77],"structure":[78],"led":[79],"unconventional":[81],"operator":[82],"probabilities,":[83],"which":[84],"also":[85],"analyzes":[86],"evolutionary":[88],"techniques":[89],"operators":[91],"included":[92],"in":[93],"this":[94],"study.":[95],"Comparative":[96],"analysis":[97],"state-of-the-art":[99],"methods":[100],"highlights":[101],"algorithm\u2019s":[103],"effectiveness,":[104],"though":[105],"computational":[106],"demands":[107],"rise":[108],"population":[110],"size.":[111]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-06-27T00:00:00"}
