{"id":"https://openalex.org/W2904539077","doi":"https://doi.org/10.1609/aaai.v33i01.33011427","title":"Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size Estimation","display_name":"Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size Estimation","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904539077","doi":"https://doi.org/10.1609/aaai.v33i01.33011427","mag":"2904539077"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33011427","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011427","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3944/3822","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3944/3822","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002283225","display_name":"Daniel Anderson","orcid":"https://orcid.org/0000-0002-5853-0472"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel Anderson","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066078818","display_name":"Gregor Hendel","orcid":"https://orcid.org/0000-0001-7132-5142"},"institutions":[{"id":"https://openalex.org/I195893171","display_name":"Zuse Institute Berlin","ror":"https://ror.org/02eva5865","country_code":"DE","type":"facility","lineage":["https://openalex.org/I195893171"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gregor Hendel","raw_affiliation_strings":["Zuse Institute Berlin"],"affiliations":[{"raw_affiliation_string":"Zuse Institute Berlin","institution_ids":["https://openalex.org/I195893171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035242315","display_name":"Pierre Le Bodic","orcid":"https://orcid.org/0000-0003-0842-9533"},"institutions":[{"id":"https://openalex.org/I2801239119","display_name":"Australian Regenerative Medicine Institute","ror":"https://ror.org/02qa5kg76","country_code":"AU","type":"facility","lineage":["https://openalex.org/I2801037857","https://openalex.org/I2801239119","https://openalex.org/I56590836"]},{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Pierre Le Bodic","raw_affiliation_strings":["Monash University"],"affiliations":[{"raw_affiliation_string":"Monash University","institution_ids":["https://openalex.org/I2801239119","https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046447751","display_name":"Merlin Viernickel","orcid":null},"institutions":[{"id":"https://openalex.org/I195893171","display_name":"Zuse Institute Berlin","ror":"https://ror.org/02eva5865","country_code":"DE","type":"facility","lineage":["https://openalex.org/I195893171"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Merlin Viernickel","raw_affiliation_strings":["Zuse Institute Berlin"],"affiliations":[{"raw_affiliation_string":"Zuse Institute Berlin","institution_ids":["https://openalex.org/I195893171"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002283225"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":2.0485,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.85802469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"33","issue":"01","first_page":"1427","last_page":"1434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.9904999732971191,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9901000261306763,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7737662196159363},{"id":"https://openalex.org/keywords/search-tree","display_name":"Search tree","score":0.7217541337013245},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.7181046605110168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7068856954574585},{"id":"https://openalex.org/keywords/branch-and-bound","display_name":"Branch and bound","score":0.6421331167221069},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6388002634048462},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5469591021537781},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4696243107318878},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4378054440021515},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4339739680290222},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.3938104510307312},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3743863105773926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20725920796394348}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7737662196159363},{"id":"https://openalex.org/C207024777","wikidata":"https://www.wikidata.org/wiki/Q621673","display_name":"Search tree","level":3,"score":0.7217541337013245},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.7181046605110168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7068856954574585},{"id":"https://openalex.org/C93693863","wikidata":"https://www.wikidata.org/wiki/Q897659","display_name":"Branch and bound","level":2,"score":0.6421331167221069},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6388002634048462},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5469591021537781},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4696243107318878},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4378054440021515},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4339739680290222},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.3938104510307312},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3743863105773926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20725920796394348},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33011427","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011427","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3944/3822","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:monash.edu:publications/189abd03-a19a-42a5-8105-1889f216193c","is_oa":false,"landing_page_url":"https://research.monash.edu/en/publications/189abd03-a19a-42a5-8105-1889f216193c","pdf_url":null,"source":{"id":"https://openalex.org/S4306402625","display_name":"Monash University Research Portal (Monash University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I56590836","host_organization_name":"Monash University","host_organization_lineage":["https://openalex.org/I56590836"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33011427","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011427","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3944/3822","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G8921868790","display_name":null,"funder_award_id":"05M14ZAM","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904539077.pdf","grobid_xml":"https://content.openalex.org/works/W2904539077.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W111352345","https://openalex.org/W180443138","https://openalex.org/W1714472976","https://openalex.org/W1990267895","https://openalex.org/W2056084417","https://openalex.org/W2072378654","https://openalex.org/W2106144871","https://openalex.org/W2108334735","https://openalex.org/W2135937941","https://openalex.org/W2149701124","https://openalex.org/W2189345514","https://openalex.org/W2222122796","https://openalex.org/W2400703308","https://openalex.org/W2405982180","https://openalex.org/W2740313366","https://openalex.org/W2766709291","https://openalex.org/W2912540313","https://openalex.org/W2915825623","https://openalex.org/W2916974679","https://openalex.org/W4230870880","https://openalex.org/W6644078505","https://openalex.org/W6651756850","https://openalex.org/W6664808665","https://openalex.org/W6676095684","https://openalex.org/W6689051861","https://openalex.org/W6712909290","https://openalex.org/W6758826191","https://openalex.org/W6759399399","https://openalex.org/W6759781625"],"related_works":["https://openalex.org/W2165085685","https://openalex.org/W1931020284","https://openalex.org/W4319942994","https://openalex.org/W2741597579","https://openalex.org/W2182290077","https://openalex.org/W2366206435","https://openalex.org/W2277678953","https://openalex.org/W2389899617","https://openalex.org/W27222569","https://openalex.org/W4248516644"],"abstract_inverted_index":{"We":[0,28,71],"propose":[1],"a":[2,42,85,89],"simple":[3],"and":[4,106],"general":[5],"online":[6],"method":[7],"to":[8,53,73],"measure":[9],"the":[10,14,21,24,55,59,63,69,102],"search":[11,26,56],"progress":[12],"within":[13],"Branch-and-Bound":[15],"algorithm,":[16],"from":[17],"which":[18],"we":[19],"estimate":[20,61],"size":[22],"of":[23,62,65,76,92],"remaining":[25,66],"tree.":[27,70],"then":[29],"show":[30],"how":[31],"this":[32,74],"information":[33],"can":[34],"help":[35],"solvers":[36,49],"algorithmically":[37],"at":[38],"runtime":[39],"by":[40],"designing":[41],"restart":[43,54,82],"strategy":[44,83],"for":[45],"MixedInteger":[46],"Programming":[47],"(MIP)":[48],"that":[50],"decides":[51],"whether":[52],"based":[57],"on":[58,88],"current":[60],"number":[64],"nodes":[67],"in":[68,101,110],"refer":[72],"type":[75],"algorithm":[77],"as":[78],"clairvoyant.":[79],"Our":[80],"clairvoyant":[81],"outperforms":[84],"state-of-the-art":[86],"solver":[87,104],"large":[90],"set":[91],"publicly":[93],"available":[94,109],"MIP":[95,103],"benchmark":[96],"instances.":[97],"It":[98],"is":[99],"implemented":[100],"SCIP":[105],"will":[107],"be":[108],"future":[111],"releases.":[112]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
