{"id":"https://openalex.org/W2729805655","doi":"https://doi.org/10.1145/3071178.3071236","title":"Two-edge graphical linkage model for DSMGA-II","display_name":"Two-edge graphical linkage model for DSMGA-II","publication_year":2017,"publication_date":"2017-06-30","ids":{"openalex":"https://openalex.org/W2729805655","doi":"https://doi.org/10.1145/3071178.3071236","mag":"2729805655"},"language":"en","primary_location":{"id":"doi:10.1145/3071178.3071236","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3071178.3071236","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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/A5078059074","display_name":"Ping-Lin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ping-Lin Chen","raw_affiliation_strings":["National Taiwan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021315639","display_name":"Chun-Jen Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Jen Peng","raw_affiliation_strings":["National Taiwan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103650475","display_name":"LU Chang-yi","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chang-Yi Lu","raw_affiliation_strings":["National Taiwan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011802505","display_name":"Tian\u2013Li Yu","orcid":"https://orcid.org/0000-0002-0273-9330"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tian-Li Yu","raw_affiliation_strings":["National Taiwan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"745","last_page":"752"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9970999956130981,"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":0.9907000064849854,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8079688549041748},{"id":"https://openalex.org/keywords/linkage","display_name":"Linkage (software)","score":0.6927976608276367},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6188195943832397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6153630614280701},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5831435322761536},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5760571360588074},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5176339745521545},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.48683685064315796},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4614613652229309},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4218662679195404},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4079439043998718},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3206093907356262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3033749461174011},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26483601331710815},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2161397933959961}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8079688549041748},{"id":"https://openalex.org/C31266012","wikidata":"https://www.wikidata.org/wiki/Q6554340","display_name":"Linkage (software)","level":3,"score":0.6927976608276367},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6188195943832397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6153630614280701},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5831435322761536},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5760571360588074},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5176339745521545},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.48683685064315796},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4614613652229309},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4218662679195404},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4079439043998718},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3206093907356262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3033749461174011},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26483601331710815},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2161397933959961},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3071178.3071236","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3071178.3071236","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":19,"referenced_works":["https://openalex.org/W1291450","https://openalex.org/W1482125571","https://openalex.org/W1519293715","https://openalex.org/W1529520349","https://openalex.org/W1534867582","https://openalex.org/W1963955294","https://openalex.org/W1965555277","https://openalex.org/W1979622254","https://openalex.org/W2023517203","https://openalex.org/W2025135622","https://openalex.org/W2047284461","https://openalex.org/W2056459786","https://openalex.org/W2068887094","https://openalex.org/W2092076923","https://openalex.org/W2116926066","https://openalex.org/W2170086712","https://openalex.org/W2278052651","https://openalex.org/W6631989446","https://openalex.org/W6641869264"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2087343574","https://openalex.org/W2121910908"],"abstract_inverted_index":{"DSMGA-II,":[0],"a":[1,47],"model-based":[2],"genetic":[3],"algorithm,":[4],"is":[5,74,107],"capable":[6],"of":[7,14,19,21,68,93,140],"solving":[8],"optimization":[9,29],"problems":[10,38,147],"via":[11],"exploiting":[12],"sub-structures":[13],"the":[15,66,78,91,96,104,111,115,126,134,150],"problem.":[16],"In":[17],"terms":[18],"number":[20,92],"function":[22,102],"evaluations":[23],"(NFE),":[24],"DSMGA-II":[25],"has":[26],"shown":[27],"superior":[28],"ability":[30],"to":[31,60,63,124],"LT-GOMEA":[32],"and":[33],"hBOA":[34],"on":[35,144],"various":[36],"benchmark":[37,146],"as":[39,41],"well":[40],"real-world":[42],"problems.":[43],"This":[44],"paper":[45],"proposes":[46],"two-edge":[48,105],"graphical":[49],"linkage":[50,72,88],"model,":[51],"which":[52],"customizes":[53],"recombination":[54],"masks":[55],"for":[56],"each":[57],"receiver":[58],"according":[59],"its":[61],"alleles,":[62],"further":[64],"improve":[65],"performance":[67],"DSMGA-II.":[69,152],"The":[70],"new":[71,119],"model":[73,106,127],"more":[75,86],"expressive":[76],"than":[77,90],"original":[79,116,151],"dependency":[80],"structure":[81],"matrix":[82],"(DSM),":[83],"providing":[84],"far":[85],"possible":[87],"combinations":[89],"solutions":[94],"in":[95],"search":[97],"space.":[98],"To":[99],"reduce":[100],"unnecessary":[101],"evaluations,":[103],"used":[108],"along":[109],"with":[110,149],"supply":[112],"bounds":[113],"from":[114],"DSM.":[117],"Some":[118],"techniques":[120],"are":[121],"also":[122],"proposed":[123,132],"enhance":[125],"selection":[128],"efficiency.":[129],"Combining":[130],"these":[131],"techniques,":[133],"empirical":[135],"results":[136],"show":[137],"an":[138],"average":[139],"12.2%":[141],"NFE":[142],"reduction":[143],"eight":[145],"compared":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}