{"id":"https://openalex.org/W4417482568","doi":"https://doi.org/10.1007/s12065-025-01115-w","title":"Improving adaptive large neighborhood search: an evaluation of parallel approaches with deep learning integration","display_name":"Improving adaptive large neighborhood search: an evaluation of parallel approaches with deep learning integration","publication_year":2025,"publication_date":"2025-12-19","ids":{"openalex":"https://openalex.org/W4417482568","doi":"https://doi.org/10.1007/s12065-025-01115-w"},"language":"en","primary_location":{"id":"doi:10.1007/s12065-025-01115-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12065-025-01115-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12065-025-01115-w.pdf","source":{"id":"https://openalex.org/S182392644","display_name":"Evolutionary Intelligence","issn_l":"1864-5909","issn":["1864-5909","1864-5917"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Evolutionary 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/s12065-025-01115-w.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078113963","display_name":"Carlos Antonio Marino","orcid":"https://orcid.org/0000-0002-6393-6346"},"institutions":[{"id":"https://openalex.org/I65285256","display_name":"Pontificia Universidad Cat\u00f3lica del Per\u00fa","ror":"https://ror.org/00013q465","country_code":"PE","type":"education","lineage":["https://openalex.org/I65285256"]}],"countries":["PE"],"is_corresponding":true,"raw_author_name":"Carlos Antonio Marino","raw_affiliation_strings":["CENTRUM Cat\u00f3lica Graduate Business School, Pontifical Catholic University of Peru, Jir\u00f3n Daniel Alom\u00eda Robles 125, Santiago de Surco, 15023, Lima, Peru"],"raw_orcid":"https://orcid.org/0000-0002-6393-6346","affiliations":[{"raw_affiliation_string":"CENTRUM Cat\u00f3lica Graduate Business School, Pontifical Catholic University of Peru, Jir\u00f3n Daniel Alom\u00eda Robles 125, Santiago de Surco, 15023, Lima, Peru","institution_ids":["https://openalex.org/I65285256"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078113963"],"corresponding_institution_ids":["https://openalex.org/I65285256"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.50554183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.7893000245094299,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.7893000245094299,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.027300000190734863,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.02449999935925007,"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/interpretability","display_name":"Interpretability","score":0.7487999796867371},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6503000259399414},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6197999715805054},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.567799985408783},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5149999856948853},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5115000009536743},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4569000005722046},{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.45170000195503235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8568000197410583},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7487999796867371},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6503000259399414},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6197999715805054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6146000027656555},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.567799985408783},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5430999994277954},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5149999856948853},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5115000009536743},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4569000005722046},{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.45170000195503235},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4318999946117401},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2989000082015991},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.28850001096725464},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.25589999556541443}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s12065-025-01115-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12065-025-01115-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12065-025-01115-w.pdf","source":{"id":"https://openalex.org/S182392644","display_name":"Evolutionary Intelligence","issn_l":"1864-5909","issn":["1864-5909","1864-5917"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Evolutionary Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s12065-025-01115-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12065-025-01115-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12065-025-01115-w.pdf","source":{"id":"https://openalex.org/S182392644","display_name":"Evolutionary Intelligence","issn_l":"1864-5909","issn":["1864-5909","1864-5917"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Evolutionary Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417482568.pdf","grobid_xml":"https://content.openalex.org/works/W4417482568.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1984594269","https://openalex.org/W1995714897","https://openalex.org/W2010334716","https://openalex.org/W2042139155","https://openalex.org/W2046064436","https://openalex.org/W2052614107","https://openalex.org/W2095546721","https://openalex.org/W2102103879","https://openalex.org/W2105002757","https://openalex.org/W2114217004","https://openalex.org/W2144161334","https://openalex.org/W2171985270","https://openalex.org/W2211751114","https://openalex.org/W2914436796","https://openalex.org/W3022067676","https://openalex.org/W3047863327","https://openalex.org/W3135883000","https://openalex.org/W3189470799","https://openalex.org/W4322576975","https://openalex.org/W4410343009"],"related_works":[],"abstract_inverted_index":{"This":[0,123],"paper":[1],"introduces":[2],"a":[3],"hybrid":[4],"optimization":[5],"framework":[6],"that":[7,47],"enhances":[8],"vehicle":[9],"routing":[10,34,75],"by":[11],"integrating":[12],"Parallel":[13],"Adaptive":[14],"Large":[15],"Neighborhood":[16],"Search":[17],"(PALNS)":[18],"with":[19,132],"deep":[20],"generative":[21],"modeling.":[22],"Our":[23],"method":[24],"uses":[25],"Variational":[26],"Autoencoders":[27],"(VAEs)":[28],"to":[29,59,88,119],"extract":[30],"latent":[31,114],"representations":[32],"of":[33,113],"patterns,":[35],"which":[36],"dynamically":[37],"guide":[38],"neighborhood":[39],"selection":[40],"during":[41],"the":[42,100],"search.":[43],"Unlike":[44],"conventional":[45],"heuristics":[46],"rely":[48],"on":[49,69],"handcrafted":[50],"rules,":[51],"our":[52],"approach":[53],"learns":[54],"from":[55],"historical":[56],"solution":[57,81],"data":[58],"balance":[60],"exploration":[61],"and":[62,73,83,91,104,116,128,137],"exploitation.":[63],"We":[64],"conduct":[65],"extensive":[66],"computational":[67],"experiments":[68],"benchmark":[70],"CVRP":[71],"instances":[72],"real":[74],"data,":[76],"showing":[77],"significant":[78],"improvements":[79],"in":[80],"quality":[82],"steeper":[84],"convergence":[85],"curves":[86],"compared":[87],"standalone":[89],"ALNS":[90],"other":[92],"metaheuristics.":[93],"While":[94],"there":[95],"is":[96,102],"modest":[97],"runtime":[98],"overhead,":[99],"latency":[101],"consistent":[103],"within":[105],"practical":[106,133],"bounds.":[107],"The":[108],"results":[109],"also":[110],"highlight":[111],"interpretability":[112],"features":[115],"their":[117],"contribution":[118],"dynamic":[120],"search":[121],"behavior.":[122],"work":[124],"bridges":[125],"machine":[126],"learning":[127],"large-scale":[129],"combinatorial":[130],"optimization,":[131],"implications":[134],"for":[135],"logistics":[136],"supply":[138],"chain":[139],"applications.":[140]},"counts_by_year":[],"updated_date":"2026-03-10T14:07:55.174380","created_date":"2025-12-19T00:00:00"}
