{"id":"https://openalex.org/W4401414703","doi":"https://doi.org/10.1109/cec60901.2024.10612021","title":"Neural Combinatorial Optimization by Means of Partial Solution Strategies","display_name":"Neural Combinatorial Optimization by Means of Partial Solution Strategies","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401414703","doi":"https://doi.org/10.1109/cec60901.2024.10612021"},"language":"en","primary_location":{"id":"doi:10.1109/cec60901.2024.10612021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec60901.2024.10612021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-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/A5071354499","display_name":"Andoni I. Garmendia","orcid":"https://orcid.org/0000-0002-7243-6116"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Andoni Irazusta Garmendia","raw_affiliation_strings":["University of the Basque Country (UPV/EHU),Donostia-San Sebastian,Spain"],"affiliations":[{"raw_affiliation_string":"University of the Basque Country (UPV/EHU),Donostia-San Sebastian,Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017102186","display_name":"Josu Ceberio","orcid":"https://orcid.org/0000-0001-7120-6338"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Josu Ceberio","raw_affiliation_strings":["University of the Basque Country (UPV/EHU),Donostia-San Sebastian,Spain"],"affiliations":[{"raw_affiliation_string":"University of the Basque Country (UPV/EHU),Donostia-San Sebastian,Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051966806","display_name":"Alexander Mendiburu","orcid":"https://orcid.org/0000-0002-7271-1931"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alexander Mendiburu","raw_affiliation_strings":["University of the Basque Country (UPV/EHU),Donostia-San Sebastian,Spain"],"affiliations":[{"raw_affiliation_string":"University of the Basque Country (UPV/EHU),Donostia-San Sebastian,Spain","institution_ids":["https://openalex.org/I169108374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071354499"],"corresponding_institution_ids":["https://openalex.org/I169108374"],"apc_list":null,"apc_paid":null,"fwci":0.2632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51958098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9876000285148621,"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"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.5839118361473083},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3977277874946594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2230737805366516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5839118361473083},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3977277874946594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2230737805366516}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec60901.2024.10612021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec60901.2024.10612021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W12523113","https://openalex.org/W1586603169","https://openalex.org/W1972789308","https://openalex.org/W2043611919","https://openalex.org/W2044804339","https://openalex.org/W2053913299","https://openalex.org/W2113513143","https://openalex.org/W2150400602","https://openalex.org/W2324141829","https://openalex.org/W2907492528","https://openalex.org/W2922429874","https://openalex.org/W2952332632","https://openalex.org/W2963084599","https://openalex.org/W2968110780","https://openalex.org/W3019166713","https://openalex.org/W3047863327","https://openalex.org/W3097232108","https://openalex.org/W3170048368","https://openalex.org/W3170112077","https://openalex.org/W3186263341","https://openalex.org/W4226083512","https://openalex.org/W4229012455","https://openalex.org/W4246565613","https://openalex.org/W6730742100","https://openalex.org/W6760302811","https://openalex.org/W6779874303","https://openalex.org/W6785065334","https://openalex.org/W6796584923","https://openalex.org/W6810592115"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Learning-based":[0],"methods":[1,229],"have":[2,77],"gained":[3],"significant":[4],"popularity":[5],"in":[6,12,16,36,52,70,85,123],"the":[7,17,37,43,67,104,112,117,133,136,146,154,187,208,226,241],"field":[8],"of":[9,29,46,108,135,145,162,179,233,245],"combinatorial":[10,48],"optimization":[11,174],"recent":[13],"times.":[14],"Researchers":[15],"deep":[18],"learning":[19,109,228],"community":[20],"aim":[21],"to":[22,42,64,115,129,218,240],"design":[23],"models":[24],"that,":[25],"given":[26],"an":[27,237],"instance":[28],"a":[30,53,92,160,166,172,180,249],"problem,":[31],"directly":[32],"generate":[33],"optimal":[34,68],"solutions":[35],"first":[38],"shot.":[39],"However,":[40],"due":[41],"inherent":[44],"complexity":[45],"certain":[47],"problems,":[49],"achieving":[50,236],"this":[51,74,96],"single":[54],"attempt":[55],"is":[56,114,139],"not":[57],"trivial,":[58],"and":[59,201,214,221,223],"additional":[60],"strategies":[61,100,220],"are":[62,88,183],"required":[63],"search":[65,83],"for":[66,230],"solution":[69,138,182,189],"several":[71],"tries.":[72],"For":[73],"purpose,":[75],"researchers":[76],"proposed":[78],"sampling":[79],"techniques":[80],"or":[81],"active":[82],"which,":[84],"our":[86],"opinion,":[87],"computationally":[89],"wasteful":[90],"with":[91],"limited":[93],"performance.":[94],"In":[95],"paper":[97],"we":[98,151],"develop":[99],"that":[101,207],"efficiently":[102],"exploit":[103],"fast":[105],"inference":[106],"capability":[107],"methods.":[110],"Particularly,":[111],"objective":[113],"solve":[116],"entire":[118],"problem":[119,131],"by":[120,141],"solving":[121],"it":[122],"fragments.":[124],"It":[125],"can":[126],"be":[127],"applied":[128],"any":[130,143],"where":[132,176],"improvement":[134],"overall":[137,188],"guaranteed":[140],"improving":[142],"part":[144],"problem.":[147],"To":[148],"illustrate":[149],"this,":[150],"focus":[152],"on":[153],"Linear":[155],"Ordering":[156],"Problem":[157],"(LOP)":[158],"as":[159],"case":[161],"study.":[163],"We":[164,191],"employ":[165],"Neural":[167],"Combinatorial":[168],"Optimization":[169],"model":[170],"within":[171,248],"sliding-window":[173],"strategy,":[175],"specific":[177],"parts":[178],"candidate":[181],"optimized":[184],"without":[185],"compromising":[186],"quality.":[190],"explore":[192],"various":[193],"implementation":[194],"aspects,":[195],"including":[196],"window":[197],"size,":[198],"step":[199],"size":[200,234],"overlapping":[202],"configurations.":[203],"Experimental":[204],"results":[205],"show":[206],"presented":[209],"method":[210],"achieves":[211],"superior":[212],"performance":[213],"better":[215],"efficiency":[216],"compared":[217],"baseline":[219],"competitors,":[222],"significantly":[224],"surpasses":[225],"previous":[227],"LOP":[231],"instances":[232],"200,":[235],"average":[238],"gap":[239],"best":[242],"known":[243],"value":[244],"only":[246],"0.04%":[247],"1-minute":[250],"run-time.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}