{"id":"https://openalex.org/W4254736657","doi":"https://doi.org/10.1109/wsc.2005.1574330","title":"Enhancing Evolutionary Algorithms with Statistical Selection Procedures for Simulation Optimization","display_name":"Enhancing Evolutionary Algorithms with Statistical Selection Procedures for Simulation Optimization","publication_year":2006,"publication_date":"2006-01-25","ids":{"openalex":"https://openalex.org/W4254736657","doi":"https://doi.org/10.1109/wsc.2005.1574330"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2005.1574330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2005.1574330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Winter Simulation Conference, 2005.","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/A5022119933","display_name":"Peter Buchholz","orcid":"https://orcid.org/0000-0002-9966-7686"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"P. Buchholz","raw_affiliation_strings":["Department of Computer Science, University of Dortmund, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Dortmund, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053615108","display_name":"Axel Th\u00fcmmler","orcid":null},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"A. Thummler","raw_affiliation_strings":["Department of Computer Science, University of Dortmund, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Dortmund, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200332995"],"apc_list":null,"apc_paid":null,"fwci":1.5666,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.85268378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"842","last_page":"852"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9810000061988831,"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"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9810000061988831,"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/computer-science","display_name":"Computer science","score":0.6782984733581543},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6474112272262573},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5017242431640625},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.46123194694519043},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4448709189891815},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40716052055358887},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29255878925323486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17619085311889648}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6782984733581543},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6474112272262573},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5017242431640625},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.46123194694519043},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4448709189891815},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40716052055358887},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29255878925323486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17619085311889648}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2005.1574330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2005.1574330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Winter Simulation Conference, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1485111065","https://openalex.org/W1784183156","https://openalex.org/W1964187450","https://openalex.org/W1965288387","https://openalex.org/W2029530218","https://openalex.org/W2054222839","https://openalex.org/W2101655891","https://openalex.org/W2103937636","https://openalex.org/W2119828508","https://openalex.org/W2122203560","https://openalex.org/W2123358188","https://openalex.org/W2135243999","https://openalex.org/W2144636407","https://openalex.org/W2150113394","https://openalex.org/W2970576388","https://openalex.org/W4234243583","https://openalex.org/W4238691122","https://openalex.org/W4240988217"],"related_works":["https://openalex.org/W1945194472","https://openalex.org/W2153798538","https://openalex.org/W1880866131","https://openalex.org/W2129773030","https://openalex.org/W2123722903","https://openalex.org/W4294811723","https://openalex.org/W5479395","https://openalex.org/W2566493394","https://openalex.org/W2102559904","https://openalex.org/W2000976787"],"abstract_inverted_index":{"In":[0],"this":[1,114],"paper,":[2],"we":[3,75,111],"present":[4],"an":[5],"evolution":[6],"strategy":[7],"for":[8,42,51],"the":[9,23,31,43,47,53,68,71,87],"optimization":[10],"of":[11,59,70,98,107,120,122],"simulation":[12,36,105],"models.":[13],"Our":[14],"approach":[15],"incorporates":[16],"statistical":[17,40,131],"selection":[18,45,79,132],"procedures":[19,41],"that":[20,81,113],"efficiently":[21],"select":[22],"best":[24,27,54,61,88],"individual,":[25,89],"where":[26],"is":[28],"defined":[29],"by":[30],"maximum":[32],"or":[33],"minimum":[34],"expected":[35],"response.":[37],"We":[38],"use":[39],"survivor":[44],"during":[46],"evolutionary":[48,72],"process":[49],"and":[50,103,125],"selecting":[52],"individual":[55],"from":[56],"a":[57,63,77,83,93,99,104,108],"set":[58],"candidate":[60],"individuals,":[62],"so-called":[64],"elite":[65],"population,":[66],"at":[67,91],"end":[69],"process.":[73],"Furthermore,":[74],"propose":[76],"heuristic":[78],"procedure":[80,115],"reduces":[82],"random-size":[84],"subset,":[85],"containing":[86],"to":[90],"most":[92],"predefined":[94],"size.":[95],"By":[96],"means":[97],"stochastic":[100],"sphere":[101],"function":[102],"model":[106,123],"production":[109],"line,":[110],"show":[112],"performs":[116],"better":[117],"in":[118],"terms":[119],"number":[121],"evaluations":[124],"solution":[126],"quality":[127],"than":[128],"other":[129],"state-of-the-art":[130],"procedures.":[133]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
