{"id":"https://openalex.org/W1996307406","doi":"https://doi.org/10.1145/1388969.1389027","title":"A bivariate probabilistic model-building genetic algorithm for graph bipartitioning","display_name":"A bivariate probabilistic model-building genetic algorithm for graph bipartitioning","publication_year":2008,"publication_date":"2008-07-12","ids":{"openalex":"https://openalex.org/W1996307406","doi":"https://doi.org/10.1145/1388969.1389027","mag":"1996307406"},"language":"en","primary_location":{"id":"doi:10.1145/1388969.1389027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1388969.1389027","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/A5063460579","display_name":"Dirk Thierens","orcid":"https://orcid.org/0000-0002-9308-5159"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Dirk Thierens","raw_affiliation_strings":["Universiteit Utrecht, Utrecht, Netherlands"],"affiliations":[{"raw_affiliation_string":"Universiteit Utrecht, Utrecht, Netherlands","institution_ids":["https://openalex.org/I193662353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5063460579"],"corresponding_institution_ids":["https://openalex.org/I193662353"],"apc_list":null,"apc_paid":null,"fwci":0.3329,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61606118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2089","last_page":"2092"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9940000176429749,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6489051580429077},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5799248218536377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5694261789321899},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.5493259429931641},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5092402696609497},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46131253242492676},{"id":"https://openalex.org/keywords/probabilistic-analysis-of-algorithms","display_name":"Probabilistic analysis of algorithms","score":0.4332479238510132},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.42292889952659607},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35986950993537903},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19121524691581726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18813946843147278}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6489051580429077},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5799248218536377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5694261789321899},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.5493259429931641},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5092402696609497},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46131253242492676},{"id":"https://openalex.org/C24404364","wikidata":"https://www.wikidata.org/wiki/Q7246846","display_name":"Probabilistic analysis of algorithms","level":3,"score":0.4332479238510132},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.42292889952659607},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35986950993537903},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19121524691581726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18813946843147278}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1388969.1389027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1388969.1389027","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W67059538","https://openalex.org/W1489273657","https://openalex.org/W1507420740","https://openalex.org/W1509028783","https://openalex.org/W1526920131","https://openalex.org/W1583837637","https://openalex.org/W1618644968","https://openalex.org/W2013067314","https://openalex.org/W2075037955","https://openalex.org/W2075342830","https://openalex.org/W2095117703","https://openalex.org/W2128193809","https://openalex.org/W2162816476","https://openalex.org/W2738390128","https://openalex.org/W3154803405"],"related_works":["https://openalex.org/W830096938","https://openalex.org/W2109606716","https://openalex.org/W2030292806","https://openalex.org/W2189202191","https://openalex.org/W2177346860","https://openalex.org/W2145856894","https://openalex.org/W1603360336","https://openalex.org/W2903940728","https://openalex.org/W2494523064","https://openalex.org/W1970110385"],"abstract_inverted_index":{"We":[0],"investigate":[1],"a":[2,16,68],"bi-variate":[3],"probabilistic":[4],"model-building":[5],"GA":[6],"for":[7],"the":[8,24,28,33,37,41,45,48,56,63,73,81],"graph":[9,12,49],"bipartitioning":[10,13],"problem.The":[11],"problem":[14,18],"is":[15],"grouping":[17],"that":[19,55],"requires":[20],"some":[21,79],"modi.cations":[22],"to":[23,44,50,67],"standard":[25],"construction":[26],"of":[27,36,47,80],"dependency":[29,42],"tree.We":[30],"also":[31],"increase":[32],"computational":[34],"efficiency":[35],"Bi-PMBGA":[38,57,74],"by":[39],"restricting":[40],"tree":[43],"edges":[46],"be":[51],"partitioned.Experimental":[52],"results":[53],"indicate":[54],"performs":[58,75],"signi":[59],".cantly":[60],"better":[61],"than":[62],"multi-start":[64],"local":[65,70],"search.Compared":[66],"genetic":[69],"search":[71],"algorithm":[72],"slightly":[76],"worse":[77],"on":[78],"graphs":[82],"considered":[83],"here.":[84]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
