{"id":"https://openalex.org/W7224115279","doi":"https://doi.org/10.48550/arxiv.2610.36553","title":"NextEval: An Agent-Based Solver and Benchmark for Derivative-Free Optimization","display_name":"NextEval: An Agent-Based Solver and Benchmark for Derivative-Free Optimization","publication_year":2026,"publication_date":"2026-10-27","ids":{"openalex":"https://openalex.org/W7224115279","doi":"https://doi.org/10.48550/arxiv.2610.36553"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2610.36553","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.36553","pdf_url":"https://arxiv.org/pdf/2610.36553","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2610.36553","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5160019487","display_name":"Shuo Chen","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Shuo","raw_affiliation_strings":["Independent Researcher"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101669096","display_name":"Li Qiang Cui","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cui, Li","raw_affiliation_strings":["Beijing Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Normal University","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137707959","display_name":"Cunxin Huang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Huang, Cunxin","raw_affiliation_strings":["The Hong Kong Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160033018","display_name":"Ya-Feng Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu, Ya-Feng","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160018889","display_name":"Minghang Xie","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xie, Minghang","raw_affiliation_strings":["Beijing Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Normal University","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160060140","display_name":"Meng Xu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Meng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5160032399","display_name":"Zaikun Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang, Zaikun","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.8945000171661377,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.8945000171661377,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.048900000751018524,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.01510000042617321,"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/derivative-free-optimization","display_name":"derivative-free optimization","score":0.9980000257492065},{"id":"https://openalex.org/keywords/llm-based-agents","display_name":"LLM agents","score":0.7099999785423279},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.8550000190734863},{"id":"https://openalex.org/keywords/black-box-optimization","display_name":"black-box optimization","score":0.7300000190734863},{"id":"https://openalex.org/keywords/benchmarking","display_name":"benchmarking","score":0.675000011920929},{"id":"https://openalex.org/keywords/tool-selection","display_name":"tool selection","score":0.4880000054836273},{"id":"https://openalex.org/keywords/simulation-optimization","display_name":"simulation-based optimization","score":0.5490000247955322}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7942000031471252},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.7752000093460083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7297000288963318},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6960999965667725},{"id":"https://openalex.org/C88626702","wikidata":"https://www.wikidata.org/wiki/Q1128903","display_name":"Continuation","level":2,"score":0.6478000283241272},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5152000188827515},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.48100000619888306},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4072999954223633},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C164155591","wikidata":"https://www.wikidata.org/wiki/Q2067766","display_name":"Satisfiability modulo theories","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C2986605239","wikidata":"https://www.wikidata.org/wiki/Q925667","display_name":"Numerical models","level":3,"score":0.29269999265670776}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2610.36553","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.36553","pdf_url":"https://arxiv.org/pdf/2610.36553","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2610.36553","doi":"https://doi.org/10.48550/arxiv.2610.36553","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2610.36553","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2610.36553","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.36553","pdf_url":"https://arxiv.org/pdf/2610.36553","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G8725024275","display_name":null,"funder_award_id":"12171043","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/F4320335581","display_name":"Young Scientists Fund","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7224115279.pdf","grobid_xml":"https://content.openalex.org/works/W7224115279.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2229044996","https://openalex.org/W4401208355","https://openalex.org/W4407424793","https://openalex.org/W7128721102","https://openalex.org/W2513402207","https://openalex.org/W2891280644","https://openalex.org/W7098040694","https://openalex.org/W7101169380","https://openalex.org/W2181686101","https://openalex.org/W4221148463"],"abstract_inverted_index":{"Derivative-free":[0],"optimization":[1],"(DFO)":[2],"addresses":[3],"problems":[4,187],"where":[5,22],"derivatives":[6],"are":[7],"unavailable":[8],"or":[9],"costly":[10],"to":[11,39,44,75,118],"obtain.":[12],"This":[13],"setting":[14],"often":[15],"arises":[16],"in":[17,37,198],"simulation-based":[18],"and":[19,105,115,126,137,146,179],"experimental":[20],"applications,":[21],"evaluating":[23],"the":[24,58,67,77,129,139,171,190,194],"black-box":[25],"objective":[26],"can":[27],"itself":[28],"be":[29],"costly.":[30],"Thus,":[31],"it":[32],"remains":[33],"a":[34,50,70,86,94,111,159],"central":[35],"challenge":[36],"DFO":[38,63,168,186,196],"effectively":[40],"exploit":[41],"accumulated":[42],"observations":[43,125],"select":[45],"informative":[46],"evaluation":[47,81,113,140,177],"points":[48],"under":[49,175],"limited":[51],"budget.":[52],"In":[53],"this":[54,152],"light,":[55],"we":[56,84,154],"introduce":[57,156],"NextEval":[59,157,191],"solver,":[60,64],"an":[61,90],"agent-based":[62],"which":[65],"integrates":[66],"capabilities":[68],"of":[69,80],"large":[71],"language":[72],"model":[73],"(LLM)":[74],"guide":[76],"sequential":[78],"selection":[79],"points.":[82,149],"Specifically,":[83],"establish":[85],"system":[87],"that":[88,189],"combines":[89],"LLM":[91,130],"agent":[92,131,164],"with":[93],"numerical":[95,107,143,173],"environment.":[96],"The":[97],"environment":[98],"provides":[99],"tools":[100,174],"for":[101,162],"analyzing":[102],"past":[103],"evaluations":[104],"executing":[106],"methods,":[108],"while":[109,142],"maintaining":[110],"shared":[112,167],"history":[114],"method-specific":[116],"state":[117],"support":[119],"continuation":[120],"across":[121],"method":[122],"switches.":[123],"Using":[124],"tool":[127],"feedback,":[128],"selects":[132],"tools,":[133],"configures":[134],"their":[135],"parameters,":[136],"allocates":[138],"budget,":[141],"methods":[144],"compute":[145],"evaluate":[147],"candidate":[148],"Building":[150],"on":[151,166,184],"system,":[153],"also":[155],"Bench,":[158],"benchmark":[160],"protocol":[161],"comparing":[163],"configurations":[165],"tasks":[169],"using":[170],"same":[172],"matched":[176],"budgets":[178],"information":[180],"constraints.":[181],"Numerical":[182],"results":[183],"low-dimensional":[185],"demonstrate":[188],"solver":[192],"outperforms":[193],"state-of-the-art":[195],"baselines":[197],"function-evaluation":[199],"efficiency.":[200]},"counts_by_year":[],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2026-10-29T00:00:00"}
