{"id":"https://openalex.org/W2029538595","doi":"https://doi.org/10.1145/1388969.1389051","title":"Using quotient graphs to model neutrality in evolutionary search","display_name":"Using quotient graphs to model neutrality in evolutionary search","publication_year":2008,"publication_date":"2008-07-12","ids":{"openalex":"https://openalex.org/W2029538595","doi":"https://doi.org/10.1145/1388969.1389051","mag":"2029538595"},"language":"en","primary_location":{"id":"doi:10.1145/1388969.1389051","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1388969.1389051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual conference companion 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/A5026367184","display_name":"Dominic Wilson","orcid":"https://orcid.org/0000-0001-6356-0871"},"institutions":[{"id":"https://openalex.org/I90871651","display_name":"University of Toledo","ror":"https://ror.org/01pbdzh19","country_code":"US","type":"education","lineage":["https://openalex.org/I90871651"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dominic Wilson","raw_affiliation_strings":["University of Toledo, Toledo, OH, USA","University of Toledo , Toledo, OH, USA"],"affiliations":[{"raw_affiliation_string":"University of Toledo, Toledo, OH, USA","institution_ids":["https://openalex.org/I90871651"]},{"raw_affiliation_string":"University of Toledo , Toledo, OH, USA","institution_ids":["https://openalex.org/I90871651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067033094","display_name":"Devinder Kaur","orcid":"https://orcid.org/0000-0003-0567-8585"},"institutions":[{"id":"https://openalex.org/I90871651","display_name":"University of Toledo","ror":"https://ror.org/01pbdzh19","country_code":"US","type":"education","lineage":["https://openalex.org/I90871651"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Devinder Kaur","raw_affiliation_strings":["University of Toledo, Toledo, OH, USA","University of Toledo , Toledo, OH, USA"],"affiliations":[{"raw_affiliation_string":"University of Toledo, Toledo, OH, USA","institution_ids":["https://openalex.org/I90871651"]},{"raw_affiliation_string":"University of Toledo , Toledo, OH, USA","institution_ids":["https://openalex.org/I90871651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026367184"],"corresponding_institution_ids":["https://openalex.org/I90871651"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07571206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":null,"first_page":"2233","last_page":"2238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9995999932289124,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9995999932289124,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9958000183105469,"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/T11764","display_name":"Evolution and Genetic Dynamics","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quotient","display_name":"Quotient","score":0.7516317963600159},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5238124132156372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4895549714565277},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4839325547218323},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44863173365592957},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.43379688262939453},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36599668860435486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34482383728027344},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1553061604499817}],"concepts":[{"id":"https://openalex.org/C199422724","wikidata":"https://www.wikidata.org/wiki/Q41118","display_name":"Quotient","level":2,"score":0.7516317963600159},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5238124132156372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4895549714565277},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4839325547218323},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44863173365592957},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.43379688262939453},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36599668860435486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34482383728027344},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1553061604499817}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1388969.1389051","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1388969.1389051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual conference companion on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.860.2679","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.860.2679","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/%7Ewbl/biblio/gecco2008/docs/p2233.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1520245121","https://openalex.org/W1535529451","https://openalex.org/W1608618407","https://openalex.org/W1886554846","https://openalex.org/W1933385826","https://openalex.org/W2047600545","https://openalex.org/W2075769321","https://openalex.org/W2090818677","https://openalex.org/W2102258286","https://openalex.org/W2124826683","https://openalex.org/W2150918305","https://openalex.org/W2330548796","https://openalex.org/W4213018468"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W1560122427","https://openalex.org/W1993493607","https://openalex.org/W2021957875","https://openalex.org/W2802808995","https://openalex.org/W2787833928","https://openalex.org/W2593449396"],"abstract_inverted_index":{"We":[0,10,75],"introduce":[1],"quotient":[2,34,85],"graphs":[3],"for":[4,13,46],"modeling":[5,47],"neutrality":[6],"in":[7,55,69],"evolutionary":[8,17,48,107],"search.":[9,74],"demonstrate":[11],"that":[12],"a":[14],"variety":[15],"of":[16,43,53,73,105],"computing":[18],"problems,":[19],"search":[20,31],"can":[21,38,91],"be":[22,65],"characterized":[23],"by":[24],"grouping":[25],"genes":[26],"with":[27],"similar":[28],"fitness":[29],"and":[30,87],"behavior":[32,49],"into":[33],"sets.":[35],"These":[36],"sets":[37],"potentially":[39],"reduce":[40],"the":[41,71,93],"degrees":[42],"freedom":[44],"needed":[45],"without":[50],"any":[51],"loss":[52],"accuracy":[54],"such":[56],"models.":[57],"Quotients":[58],"sets,":[59],"which":[60],"are":[61],"also":[62,102],"shown":[63],"to":[64,78],"Markov":[66],"models,":[67],"aid":[68],"understanding":[70],"nature":[72],"explain":[76],"how":[77],"calculate":[79],"Fitness":[80],"Distance":[81],"Correlation":[82],"(FDC)":[83],"through":[84],"graphs,":[86],"why":[88],"different":[89,98],"problems":[90],"have":[92,97],"same":[94],"FDC":[95],"but":[96],"dynamics.":[99],"Quotient":[100],"models":[101],"allow":[103],"visualization":[104],"correlated":[106],"drives.":[108]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}