{"id":"https://openalex.org/W2071500750","doi":"https://doi.org/10.1145/2739482.2764898","title":"Empirical Scaling Analyser","display_name":"Empirical Scaling Analyser","publication_year":2015,"publication_date":"2015-07-10","ids":{"openalex":"https://openalex.org/W2071500750","doi":"https://doi.org/10.1145/2739482.2764898","mag":"2071500750"},"language":"en","primary_location":{"id":"doi:10.1145/2739482.2764898","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739482.2764898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007361203","display_name":"Zongxu Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zongxu Mu","raw_affiliation_strings":["University of British Columbia, Vancouver, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025342513","display_name":"Holger H. Hoos","orcid":"https://orcid.org/0000-0003-0629-0099"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Holger H. Hoos","raw_affiliation_strings":["University of British Columbia, Vancouver, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141945490"],"apc_list":null,"apc_paid":null,"fwci":1.3237,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79593951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"771","last_page":"772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9980999827384949,"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":0.9980999827384949,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.994700014591217,"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":0.7446985840797424},{"id":"https://openalex.org/keywords/analyser","display_name":"Analyser","score":0.708435595035553},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.6925376057624817},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.6027856469154358},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5411692261695862},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.48058128356933594},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47616833448410034},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.4539563059806824},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.43579623103141785},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41660264134407043},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3891860246658325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18808895349502563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18147119879722595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7446985840797424},{"id":"https://openalex.org/C26834552","wikidata":"https://www.wikidata.org/wiki/Q3275846","display_name":"Analyser","level":2,"score":0.708435595035553},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.6925376057624817},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6027856469154358},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5411692261695862},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.48058128356933594},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47616833448410034},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.4539563059806824},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.43579623103141785},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41660264134407043},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3891860246658325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18808895349502563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18147119879722595},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2739482.2764898","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739482.2764898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1970822112","https://openalex.org/W2165372647","https://openalex.org/W2265246327"],"related_works":["https://openalex.org/W1904432136","https://openalex.org/W2039934116","https://openalex.org/W1987186610","https://openalex.org/W2005457983","https://openalex.org/W2096369514","https://openalex.org/W2092836002","https://openalex.org/W1975208120","https://openalex.org/W2047029026","https://openalex.org/W1581805909","https://openalex.org/W961142965"],"abstract_inverted_index":{"The":[0,56],"time":[1,12,101,125],"complexity":[2,126],"of":[3,10,22,26,95,108,111,122,127],"problems":[4],"and":[5,33,75,78,130],"algorithms,":[6],"i.e.,":[7],"the":[8,11,120,123],"scaling":[9,54],"required":[13],"for":[14,119,134],"solving":[15,135],"a":[16,20,70],"problem":[17,109],"instance":[18,23],"as":[19,97,99],"function":[21],"size,":[24],"is":[25,49,88,115],"key":[27],"interest":[28],"in":[29],"theoretical":[30],"computer":[31],"science":[32],"practical":[34],"applications.":[35],"This":[36],"paper":[37],"presents":[38],"an":[39],"automated":[40],"tool":[41],"--":[42,47],"Empirical":[43],"Scaling":[44],"Analyser":[45],"(ESA)":[46],"that":[48],"designed":[50],"to":[51,68,80,91],"perform":[52],"empirical":[53,124],"analysis.":[55],"methodological":[57],"approach":[58],"underlying":[59],"ESA":[60,87],"was":[61],"introduced":[62],"by":[63],"Hoos":[64],"[1],":[65],"then":[66],"applied":[67,79],"analysing":[69,81,92],"complete":[71],"TSP":[72],"solver":[73],"[2]":[74],"later":[76],"extended":[77],"several":[82],"prominent":[83],"SAT":[84],"solvers":[85],"[3].":[86],"broadly":[89],"applicable":[90],"different":[93],"kinds":[94],"algorithms":[96,129],"long":[98],"running":[100],"data":[102],"can":[103],"be":[104],"collected":[105],"on":[106],"sets":[107],"instances":[110],"various":[112],"sizes.":[113],"It":[114],"particularly":[116],"well":[117],"suited":[118],"analysis":[121],"evolutionary":[128],"other":[131],"heuristic":[132],"procedures":[133],"NP-hard":[136],"problems.":[137]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
