{"id":"https://openalex.org/W2058147247","doi":"https://doi.org/10.1145/1068009.1068234","title":"Some theoretical results about the computation time of evolutionary algorithms","display_name":"Some theoretical results about the computation time of evolutionary algorithms","publication_year":2005,"publication_date":"2005-06-25","ids":{"openalex":"https://openalex.org/W2058147247","doi":"https://doi.org/10.1145/1068009.1068234","mag":"2058147247"},"language":"en","primary_location":{"id":"doi:10.1145/1068009.1068234","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1068009.1068234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-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/A5100829152","display_name":"Lixin Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lixin Ding","raw_affiliation_strings":["Wuhan University, Wuhan, P. R. China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, P. R. China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054542502","display_name":"Jinghu Yu","orcid":"https://orcid.org/0000-0002-3763-2509"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghu Yu","raw_affiliation_strings":["Chinese Academy of Sciences, Wuhan, P. R. China","Chinese Academy of Sciences, Wuhan, P. R. China#TAB#"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Wuhan, P. R. China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Wuhan, P. R. China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100829152"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.9134,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81111167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1409","last_page":"1415"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9986000061035156,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9986000061035156,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9896000027656555,"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/T12288","display_name":"Optimization and Search Problems","score":0.9850999712944031,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.6981899738311768},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6882445812225342},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.679474949836731},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.567267894744873},{"id":"https://openalex.org/keywords/human-based-evolutionary-computation","display_name":"Human-based evolutionary computation","score":0.5113024711608887},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5056190490722656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49552643299102783},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.47547855973243713},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46459150314331055},{"id":"https://openalex.org/keywords/interactive-evolutionary-computation","display_name":"Interactive evolutionary computation","score":0.45235708355903625},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4100976884365082},{"id":"https://openalex.org/keywords/evolutionary-programming","display_name":"Evolutionary programming","score":0.2552553415298462},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0960966944694519}],"concepts":[{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.6981899738311768},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6882445812225342},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.679474949836731},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.567267894744873},{"id":"https://openalex.org/C158564503","wikidata":"https://www.wikidata.org/wiki/Q5936745","display_name":"Human-based evolutionary computation","level":5,"score":0.5113024711608887},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5056190490722656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49552643299102783},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.47547855973243713},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46459150314331055},{"id":"https://openalex.org/C123189799","wikidata":"https://www.wikidata.org/wiki/Q6045380","display_name":"Interactive evolutionary computation","level":4,"score":0.45235708355903625},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4100976884365082},{"id":"https://openalex.org/C121835503","wikidata":"https://www.wikidata.org/wiki/Q2596288","display_name":"Evolutionary programming","level":3,"score":0.2552553415298462},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0960966944694519},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1068009.1068234","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1068009.1068234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.420.3626","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.3626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1409.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W155828482","https://openalex.org/W1498178627","https://openalex.org/W1598952354","https://openalex.org/W1848575273","https://openalex.org/W1980465669","https://openalex.org/W1985318592","https://openalex.org/W1995260977","https://openalex.org/W1995713768","https://openalex.org/W2061092014","https://openalex.org/W2084149434","https://openalex.org/W2096795740","https://openalex.org/W2099934773","https://openalex.org/W2110538866","https://openalex.org/W2121654446","https://openalex.org/W2125296193","https://openalex.org/W2156622046","https://openalex.org/W2165220807","https://openalex.org/W2167325880","https://openalex.org/W2169905713","https://openalex.org/W2170694260","https://openalex.org/W2171047008","https://openalex.org/W3005137737"],"related_works":["https://openalex.org/W1573147006","https://openalex.org/W4285805405","https://openalex.org/W2593449396","https://openalex.org/W2141433557","https://openalex.org/W609513197","https://openalex.org/W2015132550","https://openalex.org/W3041827036","https://openalex.org/W1560122427","https://openalex.org/W2391924736","https://openalex.org/W4297582752"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3],"the":[4,15,33,47,54,76,88],"computation":[5,89],"time":[6,90],"of":[7,14,20,35,53,59,91],"evolutionary":[8,22,60,92],"algorithms.":[9],"First,":[10],"some":[11,66,102],"exact":[12],"expressions":[13],"mean":[16,55],"first":[17,56],"hitting":[18,57],"times":[19,58],"general":[21,48],"algorithms":[23,61,93],"in":[24,72,80,94],"finite":[25],"search":[26,96],"spaces":[27],"are":[28,62,83,106],"obtained":[29,71],"theoretically":[30],"by":[31,39],"using":[32],"properties":[34],"Markov":[36],"chain.":[37],"Then,":[38],"introducing":[40],"drift":[41],"analysis":[42],"and":[43,50,75],"applying":[44],"Dynkin\u2019s":[45],"Formula,":[46],"upper":[49],"lower":[51],"bounds":[52],"given":[63],"rigorously":[64],"under":[65],"mild":[67],"conditions.":[68],"These":[69],"results":[70],"this":[73,81],"paper,":[74,82],"analytic":[77],"methods":[78],"used":[79],"widely":[84],"valid":[85],"for":[86],"analyzing":[87],"any":[95],"space(finite":[97],"or":[98],"infinite)as":[99],"long":[100],"as":[101],"simple":[103],"technique":[104],"processes":[105],"introduced.":[107]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}