{"id":"https://openalex.org/W4411154034","doi":"https://doi.org/10.1145/3737705","title":"RunAndSchedule2Survive: Algorithm Scheduling Based on Run2Survive","display_name":"RunAndSchedule2Survive: Algorithm Scheduling Based on Run2Survive","publication_year":2025,"publication_date":"2025-06-09","ids":{"openalex":"https://openalex.org/W4411154034","doi":"https://doi.org/10.1145/3737705"},"language":"en","primary_location":{"id":"doi:10.1145/3737705","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3737705","pdf_url":null,"source":{"id":"https://openalex.org/S4210221532","display_name":"ACM Transactions on Evolutionary Learning and Optimization","issn_l":"2688-299X","issn":["2688-299X","2688-3007"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Evolutionary Learning and Optimization","raw_type":"journal-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/A5099566269","display_name":"Valentin Margraf","orcid":"https://orcid.org/0009-0000-5026-044X"},"institutions":[{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Valentin Margraf","raw_affiliation_strings":["MCML, LMU Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"MCML, LMU Munich, Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117936110","display_name":"Tom Koerner","orcid":null},"institutions":[{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tom Koerner","raw_affiliation_strings":["LMU Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"LMU Munich, Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088305064","display_name":"Alexander Tornede","orcid":"https://orcid.org/0000-0002-2415-2186"},"institutions":[{"id":"https://openalex.org/I4210100438","display_name":"Dyckerhoff (Germany)","ror":"https://ror.org/014ze8513","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210100438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Tornede","raw_affiliation_strings":["Beckhoff Automation GmbH und Co KG, Verl, Germany","Beckhoff Automation, Germany"],"affiliations":[{"raw_affiliation_string":"Beckhoff Automation GmbH und Co KG, Verl, Germany","institution_ids":["https://openalex.org/I4210100438"]},{"raw_affiliation_string":"Beckhoff Automation, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044057928","display_name":"Marcel Wever","orcid":"https://orcid.org/0000-0001-9782-6818"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcel Wever","raw_affiliation_strings":["L3S Research Center, Leibniz University Hannover, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"L3S Research Center, Leibniz University Hannover, Hannover, Germany","institution_ids":["https://openalex.org/I4210136150","https://openalex.org/I114112103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5099566269"],"corresponding_institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13569139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"3","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9922999739646912,"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/T11106","display_name":"Data Management and Algorithms","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6650214791297913},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4130741059780121}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6650214791297913},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4130741059780121}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3737705","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3737705","pdf_url":null,"source":{"id":"https://openalex.org/S4210221532","display_name":"ACM Transactions on Evolutionary Learning and Optimization","issn_l":"2688-299X","issn":["2688-299X","2688-3007"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Evolutionary Learning and Optimization","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W54298403","https://openalex.org/W110258791","https://openalex.org/W1258972194","https://openalex.org/W1471542436","https://openalex.org/W1495775210","https://openalex.org/W1606279477","https://openalex.org/W1988415275","https://openalex.org/W2036265926","https://openalex.org/W2038372264","https://openalex.org/W2052825782","https://openalex.org/W2126034719","https://openalex.org/W2147148915","https://openalex.org/W2399100674","https://openalex.org/W2577408049","https://openalex.org/W2898873842","https://openalex.org/W2914775474","https://openalex.org/W3186287218","https://openalex.org/W3205201407","https://openalex.org/W6633459880","https://openalex.org/W6659942587"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"The":[0],"algorithm":[1,10,30,65,95,120,129],"selection":[2,130],"problem":[3,14,63],"aims":[4],"to":[5,24,40,56,71,78,93],"identify":[6],"the":[7,58,68],"most":[8],"suitable":[9],"for":[11,119],"a":[12,25],"given":[13],"instance":[15],"under":[16],"specific":[17],"time":[18,83],"constraints,":[19],"where":[20,67],"suitability":[21],"typically":[22],"refers":[23],"performance":[26,80,137],"metric":[27],"such":[28],"as":[29,102],"runtime.":[31],"While":[32],"previous":[33,117],"work":[34],"has":[35],"employed":[36],"machine":[37],"learning":[38],"techniques":[39],"tackle":[41],"this":[42],"challenge,":[43],"methods":[44,118],"from":[45],"survival":[46,88,103],"analysis":[47,89],"have":[48],"proven":[49],"particularly":[50],"effective.":[51],"This":[52],"article":[53],"presents":[54],"RunAndSchedule2Survive":[55,134],"address":[57],"more":[59,124],"general":[60],"and":[61,122],"complex":[62],"of":[64,141],"scheduling,":[66],"objective":[69],"is":[70],"allocate":[72],"computational":[73],"resources":[74],"across":[75,107],"multiple":[76],"algorithms":[77,92],"maximize":[79],"within":[81],"specified":[82],"constraints.":[84],"Our":[85],"approach":[86,114],"combines":[87],"with":[90],"evolutionary":[91],"optimize":[94],"schedules":[96],"by":[97],"leveraging":[98],"runtime":[99],"distributions":[100],"modeled":[101],"functions.":[104],"Experimental":[105],"results":[106,126],"various":[108],"standard":[109],"benchmarks":[110],"demonstrate":[111],"that":[112],"our":[113],"significantly":[115],"outperforms":[116],"scheduling":[121],"yields":[123],"robust":[125],"than":[127],"its":[128],"variant.":[131],"More":[132],"specifically,":[133],"achieves":[135],"superior":[136],"in":[138],"20":[139],"out":[140],"25":[142],"benchmark":[143],"scenarios,":[144],"surpassing":[145],"hitherto":[146],"state-of-the-art":[147],"approaches.":[148]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
