{"id":"https://openalex.org/W4403406651","doi":"https://doi.org/10.1145/3638530.3654304","title":"Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization","display_name":"Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization","publication_year":2024,"publication_date":"2024-07-14","ids":{"openalex":"https://openalex.org/W4403406651","doi":"https://doi.org/10.1145/3638530.3654304"},"language":"en","primary_location":{"id":"doi:10.1145/3638530.3654304","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638530.3654304","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dirros.openscience.si/Dokument.php?lang=slv&id=29360&dn=","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043114412","display_name":"Peter Koro\u0161ec","orcid":"https://orcid.org/0000-0003-4492-4603"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Peter Koro\u0161ec","raw_affiliation_strings":["Computer Systems Department, Jozef Stefan Institute, Ljubljana, Slovenia"],"raw_orcid":"https://orcid.org/0000-0003-4492-4603","affiliations":[{"raw_affiliation_string":"Computer Systems Department, Jozef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082115266","display_name":"Tome Eftimov","orcid":"https://orcid.org/0000-0001-7330-1902"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Tome Eftimov","raw_affiliation_strings":["Computer Systems Department, Jozef Stefan Institute, Ljubljana, Slovenia"],"raw_orcid":"https://orcid.org/0000-0001-7330-1902","affiliations":[{"raw_affiliation_string":"Computer Systems Department, Jozef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3006985408"],"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":"571","last_page":"574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9954000115394592,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9954000115394592,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9926000237464905,"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":0.9911999702453613,"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/computer-science","display_name":"Computer science","score":0.664462685585022},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.5505566000938416},{"id":"https://openalex.org/keywords/exploratory-analysis","display_name":"Exploratory analysis","score":0.5200190544128418},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4936610162258148},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.46731632947921753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2427925169467926},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.12220758199691772}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.664462685585022},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.5505566000938416},{"id":"https://openalex.org/C3018260909","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory analysis","level":2,"score":0.5200190544128418},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4936610162258148},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.46731632947921753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2427925169467926},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.12220758199691772}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3638530.3654304","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638530.3654304","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},{"id":"pmh:oai:dirros.openscience.si:IzpisGradiva.php?id=20800","is_oa":true,"landing_page_url":"https://dirros.openscience.si/IzpisGradiva.php?id=20800","pdf_url":"https://dirros.openscience.si/Dokument.php?lang=slv&id=29360&dn=","source":{"id":"https://openalex.org/S4377196363","display_name":"DiRROS repository (University of Maribor)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I37696226","host_organization_name":"University of Maribor","host_organization_lineage":["https://openalex.org/I37696226"],"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":"ZDA","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:dirros.openscience.si:IzpisGradiva.php?id=20800","is_oa":true,"landing_page_url":"https://dirros.openscience.si/IzpisGradiva.php?id=20800","pdf_url":"https://dirros.openscience.si/Dokument.php?lang=slv&id=29360&dn=","source":{"id":"https://openalex.org/S4377196363","display_name":"DiRROS repository (University of Maribor)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I37696226","host_organization_name":"University of Maribor","host_organization_lineage":["https://openalex.org/I37696226"],"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":"ZDA","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403406651.pdf"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1879678483","https://openalex.org/W2150337126","https://openalex.org/W2732736182","https://openalex.org/W2898873842","https://openalex.org/W2957322520","https://openalex.org/W3157420884","https://openalex.org/W3173617753","https://openalex.org/W4285805192","https://openalex.org/W4291270678","https://openalex.org/W4319865697","https://openalex.org/W4385188625","https://openalex.org/W4400346918"],"related_works":["https://openalex.org/W2393888177","https://openalex.org/W2544423928","https://openalex.org/W2115794623","https://openalex.org/W2360264381","https://openalex.org/W2067173559","https://openalex.org/W2148738811","https://openalex.org/W1613730747","https://openalex.org/W2541389358","https://openalex.org/W4318948887","https://openalex.org/W1994204274"],"abstract_inverted_index":{"This":[0],"study":[1],"introduces":[2],"predictive":[3],"models":[4,40],"for":[5,74],"automated":[6],"algorithm":[7,60],"performance":[8,23,42],"improvement":[9],"during":[10],"runtime,":[11],"overcoming":[12],"the":[13,21,30,85,99],"traditional":[14],"prediction":[15,54,126],"approaches":[16],"that":[17],"focus":[18],"only":[19],"on":[20],"final":[22],"outcome.":[24],"Leveraging":[25],"sequential":[26],"iteration":[27],"data":[28],"from":[29,93],"run,":[31],"including":[32],"solution":[33],"locations":[34],"and":[35,82,107],"values":[36],"(window":[37],"size),":[38],"such":[39],"forecast":[41],"improvements":[43],"after":[44],"a":[45,94,123],"predefined":[46],"number":[47],"of":[48,59],"iterations":[49],"(predictive":[50],"window).":[51],"The":[52],"real-time":[53],"capability":[55],"enables":[56],"early":[57],"evaluation":[58],"hyperparameters,":[61],"potentially":[62],"saving":[63],"substantial":[64],"computational":[65],"time.":[66],"A":[67],"long":[68],"short-term":[69],"memory":[70],"(LSTM)":[71],"network,":[72],"chosen":[73],"its":[75],"efficacy":[76],"with":[77,103],"longitudinal":[78],"data,":[79],"is":[80,89],"tested":[81],"analysed":[83],"in":[84],"scenario":[86],"where":[87],"personalization":[88],"made":[90],"to":[91],"runs":[92],"single":[95],"problem":[96,105],"instance.":[97],"Utilizing":[98],"CEC2014":[100],"benchmark":[101],"suite":[102],"10-dimensional":[104],"instances":[106],"various":[108],"DE":[109],"configurations,":[110],"our":[111],"approach":[112],"using":[113],"exploratory":[114],"landscape":[115],"analysis":[116],"features":[117],"shows":[118],"promising":[119],"results":[120],"by":[121],"surpassing":[122],"standard":[124],"baseline":[125],"model.":[127]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
