{"id":"https://openalex.org/W2170086712","doi":"https://doi.org/10.1145/2739480.2754737","title":"Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing","display_name":"Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing","publication_year":2015,"publication_date":"2015-07-07","ids":{"openalex":"https://openalex.org/W2170086712","doi":"https://doi.org/10.1145/2739480.2754737","mag":"2170086712"},"language":"en","primary_location":{"id":"doi:10.1145/2739480.2754737","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739480.2754737","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":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1807.11669","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030233905","display_name":"Cyril Shih-Huan Hsu","orcid":"https://orcid.org/0000-0001-6514-5372"},"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":true,"raw_author_name":"Shih-Huan Hsu","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University., Taipei, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University., Taipei, Taiwan Roc","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":["Department of Electrical Engineering, National Taiwan University., Taipei, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University., Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030233905"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":7.1459,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.97026822,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"519","last_page":"526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9943000078201294,"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":0.9943000078201294,"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":0.9688000082969666,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9289000034332275,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.814535915851593},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.7318063974380493},{"id":"https://openalex.org/keywords/linkage","display_name":"Linkage (software)","score":0.7219109535217285},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6319510340690613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5837039947509766},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5488550662994385},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46122294664382935},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38533830642700195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33622145652770996},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33257541060447693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22825846076011658}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.814535915851593},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.7318063974380493},{"id":"https://openalex.org/C31266012","wikidata":"https://www.wikidata.org/wiki/Q6554340","display_name":"Linkage (software)","level":3,"score":0.7219109535217285},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6319510340690613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5837039947509766},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5488550662994385},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46122294664382935},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38533830642700195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33622145652770996},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33257541060447693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22825846076011658},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2739480.2754737","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739480.2754737","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:arXiv.org:1807.11669","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.11669","pdf_url":"https://arxiv.org/pdf/1807.11669","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1807.11669","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.11669","pdf_url":"https://arxiv.org/pdf/1807.11669","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1291450","https://openalex.org/W81240551","https://openalex.org/W201760388","https://openalex.org/W1482125571","https://openalex.org/W1497256448","https://openalex.org/W1515970832","https://openalex.org/W1519293715","https://openalex.org/W1529520349","https://openalex.org/W1534867582","https://openalex.org/W1534872837","https://openalex.org/W1659842140","https://openalex.org/W1952454332","https://openalex.org/W1963955294","https://openalex.org/W1965555277","https://openalex.org/W1980806653","https://openalex.org/W1981734705","https://openalex.org/W2013437272","https://openalex.org/W2019995933","https://openalex.org/W2023517203","https://openalex.org/W2025135622","https://openalex.org/W2031939717","https://openalex.org/W2047284461","https://openalex.org/W2056459786","https://openalex.org/W2068887094","https://openalex.org/W2081124418","https://openalex.org/W2090866850","https://openalex.org/W2092076923","https://openalex.org/W2097973361","https://openalex.org/W2116926066","https://openalex.org/W2125068730","https://openalex.org/W2169587965","https://openalex.org/W2278052651","https://openalex.org/W3004042307","https://openalex.org/W4292477447","https://openalex.org/W6631989446"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W2807634898","https://openalex.org/W1692008701","https://openalex.org/W2597588799","https://openalex.org/W4360593462","https://openalex.org/W2562400057"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"new":[4,38],"evolutionary":[5],"algorithm,":[6],"called":[7,41],"DSMGA-II,":[8],"to":[9,89],"efficiently":[10],"solve":[11],"optimization":[12],"problems":[13,115],"via":[14],"exploiting":[15],"problem":[16],"substructures.":[17],"The":[18,69,78,127],"proposed":[19],"algorithm":[20],"adopts":[21],"pairwise":[22],"linkage":[23,39,44],"detection":[24],"and":[25,63,100,125],"stores":[26],"the":[27,30,42,51,55,60,64,85,110],"information":[28],"in":[29,102],"form":[31],"of":[32,57,104,106,119,129],"dependency":[33],"structure":[34],"matrix":[35],"(DSM).":[36],"A":[37],"model,":[40],"incremental":[43],"set,":[45],"is":[46,134],"then":[47],"constructed":[48],"by":[49,54,83],"using":[50],"DSM.":[52],"Inspired":[53],"idea":[56],"optimal":[58],"mixing,":[59],"restricted":[61],"mixing":[62,66],"back":[65],"are":[67],"proposed.":[68],"former":[70],"aims":[71,80],"at":[72,81],"efficient":[73],"exploration":[74],"under":[75],"certain":[76],"constrains.":[77],"latter":[79],"exploitation":[82],"refining":[84],"DSM":[86],"so":[87],"as":[88],"reduce":[90],"unnecessary":[91],"evaluations.":[92],"Experimental":[93],"results":[94],"show":[95],"that":[96],"DSMGA-II":[97],"outperforms":[98],"LT-GOMEA":[99],"hBOA":[101],"terms":[103],"number":[105],"function":[107],"evaluations":[108],"on":[109],"concatenated/folded/cyclic":[111],"trap":[112],"problems,":[113,124],"NK-landscape":[114],"with":[116,132],"various":[117],"degrees":[118],"overlapping,":[120],"2D":[121],"Ising":[122],"spin-glass":[123],"MAX-SAT.":[126],"investigation":[128],"performance":[130],"comparison":[131],"P3":[133],"also":[135],"included.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}
