{"id":"https://openalex.org/W7128542046","doi":"https://doi.org/10.48550/arxiv.2602.08825","title":"A Methodology for Effective Surrogate Learning in Complex Optimization","display_name":"A Methodology for Effective Surrogate Learning in Complex Optimization","publication_year":2026,"publication_date":"2026-02-09","ids":{"openalex":"https://openalex.org/W7128542046","doi":"https://doi.org/10.48550/arxiv.2602.08825"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.08825","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041453383","display_name":"Tomohiro Harada","orcid":"https://orcid.org/0000-0002-0704-4351"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Harada, Tomohiro","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125393106","display_name":"Enrique Alba","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alba, Enrique","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5007483425","display_name":"Gabriel Luque","orcid":"https://orcid.org/0000-0001-7909-1416"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luque, Gabriel","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041453383"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.5735999941825867,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.5735999941825867,"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":0.08540000021457672,"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/T10524","display_name":"Traffic control and management","score":0.017799999564886093,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/scalability","display_name":"Scalability","score":0.6051999926567078},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.5060999989509583},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.4359000027179718},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.41029998660087585},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.37770000100135803},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.3736000061035156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6682999730110168},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6051999926567078},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.5060999989509583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44609999656677246},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.4359000027179718},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41780000925064087},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.41029998660087585},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40450000762939453},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.37770000100135803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37540000677108765},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3736000061035156},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.35100001096725464},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C3017813396","wikidata":"https://www.wikidata.org/wiki/Q17078173","display_name":"Resource constraints","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2554999887943268},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.08825","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.08825","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.08825","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.08825","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Solving":[0],"complex":[1],"problems":[2],"requires":[3],"continuous":[4],"effort":[5],"in":[6,120,128,152,158],"developing":[7],"theory":[8],"and":[9,43,73,84,103,131,143,165,180],"practice":[10],"to":[11,40,62,89],"cope":[12],"with":[13,19],"larger,":[14],"more":[15],"difficult":[16],"scenarios.":[17],"Working":[18],"surrogates":[20,66,115,151],"is":[21,49,93],"normal":[22],"for":[23,99,108,116,156,177],"creating":[24],"a":[25,46,80,90,95,117,133,175],"proxy":[26],"that":[27,78,92,167],"realistically":[28],"models":[29],"the":[30,33,36,51,59,100,123,137,149,168],"problem":[31,102,119],"into":[32],"computer.":[34],"Thus,":[35],"question":[37],"of":[38,50,82,125],"how":[39],"best":[41],"define":[42],"characterize":[44],"such":[45],"surrogate":[47,91],"model":[48],"utmost":[52],"importance.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57,112],"introduce":[58],"PTME":[60,134,169],"methodology":[61,170],"study":[63,135],"deep":[64],"learning":[65],"by":[67],"analyzing":[68],"their":[69],"Precision,":[70],"Time,":[71],"Memory,":[72],"Energy":[74],"consumption.":[75,145],"We":[76,146,161],"argue":[77],"only":[79],"combination":[81],"numerical":[83],"physical":[85],"performance":[86],"can":[87,171],"lead":[88],"both":[94],"trusted":[96],"scientific":[97],"substitute":[98],"real":[101,118,159],"an":[104],"efficient":[105],"experimental":[106],"artifact":[107],"scalable":[109],"studies.":[110],"Here,":[111],"propose":[113],"different":[114],"optimally":[121],"organizing":[122],"network":[124],"traffic":[126],"lights":[127],"European":[129],"cities":[130],"perform":[132],"on":[136],"surrogates'":[138],"sampling":[139],"methods,":[140],"dataset":[141],"sizes,":[142],"resource":[144],"further":[147],"use":[148],"built":[150],"new":[153],"optimization":[154],"metaheuristics":[155],"decision-making":[157],"cities.":[160],"offer":[162],"better":[163],"techniques":[164],"conclude":[166],"be":[172],"used":[173],"as":[174],"guideline":[176],"other":[178],"applications":[179],"solvers.":[181]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-11T00:00:00"}