{"id":"https://openalex.org/W2488705274","doi":"https://doi.org/10.1145/2908812.2908888","title":"Non-negative Matrix Factorization for Unsupervised Derivation of Search Objectives in Genetic Programming","display_name":"Non-negative Matrix Factorization for Unsupervised Derivation of Search Objectives in Genetic Programming","publication_year":2016,"publication_date":"2016-07-20","ids":{"openalex":"https://openalex.org/W2488705274","doi":"https://doi.org/10.1145/2908812.2908888","mag":"2488705274"},"language":"en","primary_location":{"id":"doi:10.1145/2908812.2908888","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908812.2908888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference 2016","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/A5062664935","display_name":"Pawe\u0142 Liskowski","orcid":"https://orcid.org/0000-0002-8165-748X"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Pawe\u0142 Liskowski","raw_affiliation_strings":["Poznan University of Technology, Poznan, Poland"],"affiliations":[{"raw_affiliation_string":"Poznan University of Technology, Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034406933","display_name":"Krzysztof Krawiec","orcid":"https://orcid.org/0000-0001-5439-3231"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Krzysztof Krawiec","raw_affiliation_strings":["Poznan University of Technology, Poznan, Poland"],"affiliations":[{"raw_affiliation_string":"Poznan University of Technology, Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062664935"],"corresponding_institution_ids":["https://openalex.org/I46597724"],"apc_list":null,"apc_paid":null,"fwci":2.81876879,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95800002,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"749","last_page":"756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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":1.0,"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":0.9980999827384949,"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":0.9943000078201294,"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/genetic-programming","display_name":"Genetic programming","score":0.6605896353721619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5831289291381836},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.5747840404510498},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5629525780677795},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.46262335777282715},{"id":"https://openalex.org/keywords/matrix-algebra","display_name":"Matrix algebra","score":0.4420829713344574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40167587995529175},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3646823465824127},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28964322805404663},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09340223670005798},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.07858225703239441}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.6605896353721619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5831289291381836},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.5747840404510498},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5629525780677795},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.46262335777282715},{"id":"https://openalex.org/C2988995629","wikidata":"https://www.wikidata.org/wiki/Q2915729","display_name":"Matrix algebra","level":3,"score":0.4420829713344574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40167587995529175},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3646823465824127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28964322805404663},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09340223670005798},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.07858225703239441},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2908812.2908888","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908812.2908888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference 2016","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1330540595","display_name":null,"funder_award_id":"2014/15/N/ST6/04572, 2014/15/B/ST6/05205","funder_id":"https://openalex.org/F4320322511","funder_display_name":"Narodowe Centrum Nauki"}],"funders":[{"id":"https://openalex.org/F4320322511","display_name":"Narodowe Centrum Nauki","ror":"https://ror.org/03ha2q922"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W165063463","https://openalex.org/W206759535","https://openalex.org/W278743092","https://openalex.org/W313306806","https://openalex.org/W1576818901","https://openalex.org/W1588058512","https://openalex.org/W1902027874","https://openalex.org/W1977734269","https://openalex.org/W2006194783","https://openalex.org/W2011933251","https://openalex.org/W2017288758","https://openalex.org/W2043686990","https://openalex.org/W2048687561","https://openalex.org/W2050628830","https://openalex.org/W2051856320","https://openalex.org/W2054141820","https://openalex.org/W2059745395","https://openalex.org/W2072473332","https://openalex.org/W2075280452","https://openalex.org/W2106367837","https://openalex.org/W2117362191","https://openalex.org/W2117673555","https://openalex.org/W2126105956","https://openalex.org/W2136852062","https://openalex.org/W2149031002","https://openalex.org/W2150918305","https://openalex.org/W2162074973","https://openalex.org/W2301770155","https://openalex.org/W2493007782","https://openalex.org/W3004042307","https://openalex.org/W4206080774","https://openalex.org/W4298018660","https://openalex.org/W6662717435","https://openalex.org/W6680508676"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2069570686"],"abstract_inverted_index":{"In":[0,92],"genetic":[1],"programming":[2],"(GP),":[3],"the":[4,7,89,102,128,169],"outcomes":[5],"of":[6,107,117,146,179,181],"evaluation":[8],"phase":[9],"in":[10,26,61,75,88],"an":[11,18,121,176],"evolutionary":[12],"loop":[13],"can":[14],"be":[15],"represented":[16],"as":[17,133],"interaction":[19,122],"matrix,":[20,63],"with":[21,69,175],"rows":[22],"corresponding":[23,30],"to":[24,31,50,57,81,111],"programs":[25],"a":[27,35,46,58,98,114,134],"population,":[28],"columns":[29],"tests":[32],"that":[33,62,85,100,141],"define":[34],"program":[36],"synthesis":[37,131],"task,":[38],"and":[39,41,48,72,77,138,172,187],"ones":[40],"zeroes":[42],"signaling":[43],"respectively":[44],"passing":[45],"test":[47],"failing":[49],"do":[51],"so.":[52],"The":[53,124,154],"conventional":[54,170],"fitness,":[55],"equivalent":[56],"row":[59],"sum":[60],"only":[64],"crudely":[65],"reflects":[66],"program's":[67],"compliance":[68],"desired":[70],"output,":[71],"recent":[73],"contributions":[74],"semantic":[76],"behavioral":[78],"GP":[79,171,173],"point":[80],"alternative,":[82],"multifaceted":[83],"characterizations":[84],"facilitate":[86],"navigation":[87],"search":[90,147,152,182],"space.":[91],"this":[93,165],"paper,":[94],"we":[95,139],"propose":[96],"DOF,":[97],"method":[99,178],"uses":[101],"popular":[103],"machine":[104],"learning":[105],"technique":[106],"non-negative":[108],"matrix":[109],"factorization":[110],"heuristically":[112],"derive":[113],"low":[115],"number":[116],"underlying":[118],"objectives":[119,126,183],"from":[120,161],"matrix.":[123],"resulting":[125],"redefine":[127],"original":[129],"single-objective":[130],"problem":[132],"multiobjective":[135],"optimization":[136],"problem,":[137],"posit":[140],"such":[142],"characterization":[143],"fosters":[144],"diversification":[145],"directions":[148],"while":[149],"maintaining":[150],"useful":[151],"gradient.":[153],"comparative":[155],"experiment":[156],"conducted":[157],"on":[158,184],"15":[159],"problems":[160],"discrete":[162],"domains":[163],"confirms":[164],"claim:":[166],"DOF":[167],"outperforms":[168],"equipped":[174],"alternative":[177],"derivation":[180],"success":[185],"rate":[186],"convergence":[188],"speed.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":6},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}