{"id":"https://openalex.org/W2001503742","doi":"https://doi.org/10.1145/2739480.2754740","title":"A Clustering-Based Model-Building EA for Optimization Problems with Binary and Real-Valued Variables","display_name":"A Clustering-Based Model-Building EA for Optimization Problems with Binary and Real-Valued Variables","publication_year":2015,"publication_date":"2015-07-07","ids":{"openalex":"https://openalex.org/W2001503742","doi":"https://doi.org/10.1145/2739480.2754740","mag":"2001503742"},"language":"en","primary_location":{"id":"doi:10.1145/2739480.2754740","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739480.2754740","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ir.cwi.nl/pub/23896/23896A.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043637808","display_name":"Krzysztof L. Sadowski","orcid":null},"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":"Krzysztof L. Sadowski","raw_affiliation_strings":["Utrecht University, Utrecht, Netherlands"],"affiliations":[{"raw_affiliation_string":"Utrecht University, Utrecht, Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031539135","display_name":"Peter A. N. Bosman","orcid":"https://orcid.org/0000-0002-4186-6666"},"institutions":[{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Peter A.N. Bosman","raw_affiliation_strings":["Centrum Wiskunde &amp; Informatica, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"Centrum Wiskunde &amp; Informatica, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I1341640284"]}]},{"author_position":"last","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":false,"raw_author_name":"Dirk Thierens","raw_affiliation_strings":["Utrecht University, Utrecht, Netherlands"],"affiliations":[{"raw_affiliation_string":"Utrecht University, Utrecht, Netherlands","institution_ids":["https://openalex.org/I193662353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043637808"],"corresponding_institution_ids":["https://openalex.org/I193662353"],"apc_list":null,"apc_paid":null,"fwci":1.3345,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86006453,"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":"911","last_page":"918"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9994000196456909,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.998199999332428,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7197575569152832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5791544914245605},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.5601118803024292},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5293876528739929},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.47477957606315613},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4589866101741791},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4219704866409302},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4209161698818207},{"id":"https://openalex.org/keywords/penalty-method","display_name":"Penalty method","score":0.4148361086845398},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4142146706581116},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4134329855442047},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37163203954696655},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.33901381492614746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2739424407482147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25169187784194946},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.24775418639183044},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24467745423316956}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7197575569152832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5791544914245605},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.5601118803024292},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5293876528739929},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.47477957606315613},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4589866101741791},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4219704866409302},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4209161698818207},{"id":"https://openalex.org/C6180225","wikidata":"https://www.wikidata.org/wiki/Q3411771","display_name":"Penalty method","level":2,"score":0.4148361086845398},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4142146706581116},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4134329855442047},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37163203954696655},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.33901381492614746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2739424407482147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25169187784194946},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.24775418639183044},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24467745423316956},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2739480.2754740","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739480.2754740","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:cwi.nl:23896","is_oa":true,"landing_page_url":"https://ir.cwi.nl/pub/23896","pdf_url":"https://ir.cwi.nl/pub/23896/23896A.pdf","source":{"id":"https://openalex.org/S7407055335","display_name":"Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:dspace.library.uu.nl:1874/327637","is_oa":true,"landing_page_url":"https://dspace.library.uu.nl/handle/1874/327637","pdf_url":null,"source":{"id":"https://openalex.org/S4306401649","display_name":"Utrecht University Repository (Utrecht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193662353","host_organization_name":"Utrecht University","host_organization_lineage":["https://openalex.org/I193662353"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Part of book"}],"best_oa_location":{"id":"pmh:oai:cwi.nl:23896","is_oa":true,"landing_page_url":"https://ir.cwi.nl/pub/23896","pdf_url":"https://ir.cwi.nl/pub/23896/23896A.pdf","source":{"id":"https://openalex.org/S7407055335","display_name":"Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2001503742.pdf","grobid_xml":"https://content.openalex.org/works/W2001503742.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W14791950","https://openalex.org/W59155021","https://openalex.org/W182470170","https://openalex.org/W1482125571","https://openalex.org/W1549072606","https://openalex.org/W1975904784","https://openalex.org/W2011198825","https://openalex.org/W2116926066","https://openalex.org/W2121555871","https://openalex.org/W2356386248","https://openalex.org/W2396084593","https://openalex.org/W2586568713","https://openalex.org/W6607357243","https://openalex.org/W6628905684"],"related_works":["https://openalex.org/W4312509357","https://openalex.org/W3123416417","https://openalex.org/W3146523624","https://openalex.org/W2013038594","https://openalex.org/W2951567704","https://openalex.org/W23263483","https://openalex.org/W4300978037","https://openalex.org/W1599844062","https://openalex.org/W2350700808","https://openalex.org/W4312142847"],"abstract_inverted_index":{"We":[0,69,112,149],"propose":[1],"a":[2,27,73,128],"novel":[3],"clustering-based":[4],"model-building":[5,74],"evolutionary":[6],"algorithm":[7],"to":[8,39,58,101,154],"tackle":[9],"optimization":[10],"problems":[11,90,124,134,184],"that":[12,30,76,135,151,156,185],"have":[13,91,137],"both":[14],"binary":[15,32,165],"and":[16,33,41,60,108,139,166,179,195],"real-valued":[17,34,167],"variables.":[18],"The":[19],"search":[20],"space":[21],"is":[22,157],"clustered":[23],"every":[24],"generation":[25],"using":[26],"distance":[28],"metric":[29],"considers":[31,78],"variables":[35,45,64,81,168],"jointly":[36],"in":[37,173],"order":[38],"capture":[40,59],"exploit":[42,61],"dependencies":[43,62,79,163,194],"between":[44,63,80,164],"of":[46,65,82,97,117,130,162,175],"different":[47,98],"types.":[48],"After":[49],"clustering,":[50],"linkage":[51],"learning":[52],"takes":[53],"place":[54],"within":[55],"each":[56],"cluster":[57],"the":[66,83,95,115,118,144,160],"same":[67,84],"type.":[68,85],"compare":[70,140],"this":[71],"with":[72,143],"approach":[75,153],"only":[77],"Additionally,":[86],"since":[87],"many":[88],"real-world":[89],"constraints,":[92,138],"we":[93],"examine":[94],"use":[96],"well-known":[99,131],"approaches":[100],"handling":[102],"constraints:":[103],"constraint":[104],"domination,":[105],"dynamic":[106],"penalty":[107],"global":[109],"competitive":[110],"ranking.":[111],"experimentally":[113],"analyze":[114],"performance":[116,172],"proposed":[119],"algorithms":[120],"on":[121],"various":[122],"unconstrained":[123],"as":[125,127,189],"well":[126],"selection":[129],"MINLP":[132],"benchmark":[133],"all":[136],"our":[141,152],"results":[142],"Mixed-Integer":[145],"Evolution":[146],"Strategy":[147],"(MIES).":[148],"find":[150],"clustering":[155],"aimed":[158],"at":[159],"processing":[161],"can":[169],"significantly":[170],"improve":[171],"terms":[174],"required":[176],"population":[177],"size":[178],"function":[180],"evaluations":[181],"when":[182],"solving":[183],"exhibit":[186],"properties":[187],"such":[188],"multiple":[190],"optima,":[191],"strong":[192],"mixed":[193],"constraints.":[196]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
