{"id":"https://openalex.org/W3125309515","doi":"https://doi.org/10.1109/scisisis50064.2020.9322697","title":"Genetic Algorithms Using Neural Network Regression and Group Lasso for Dynamic Selection of Crossover Operators","display_name":"Genetic Algorithms Using Neural Network Regression and Group Lasso for Dynamic Selection of Crossover Operators","publication_year":2020,"publication_date":"2020-12-05","ids":{"openalex":"https://openalex.org/W3125309515","doi":"https://doi.org/10.1109/scisisis50064.2020.9322697","mag":"3125309515"},"language":"en","primary_location":{"id":"doi:10.1109/scisisis50064.2020.9322697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis50064.2020.9322697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS)","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":null,"display_name":"Masaya Kato","orcid":null},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaya Kato","raw_affiliation_strings":["Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024098357","display_name":"Miho Ohsaki","orcid":"https://orcid.org/0000-0002-6766-2928"},"institutions":[{"id":"https://openalex.org/I133984924","display_name":"Doshisha University","ror":"https://ror.org/01fxdkm29","country_code":"JP","type":"education","lineage":["https://openalex.org/I133984924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miho Ohsaki","raw_affiliation_strings":["Graduate School of Science and Engineering, Doshisha University, Kyotanabe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Doshisha University, Kyotanabe, Japan","institution_ids":["https://openalex.org/I133984924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102967261","display_name":"Kei Ohnishi","orcid":"https://orcid.org/0000-0001-7965-4135"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Ohnishi","raw_affiliation_strings":["Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan","institution_ids":["https://openalex.org/I207014233"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22426544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9965999722480774,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.996399998664856,"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/T10320","display_name":"Neural Networks and Applications","score":0.9861999750137329,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.8528561592102051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6810758113861084},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6560856699943542},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.6341059803962708},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6323701739311218},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.549888014793396},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5458865165710449},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5435646772384644},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5197374820709229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4883379638195038},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4673882722854614},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.46703028678894043},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4242889881134033},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4132738709449768},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3305691182613373},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18485799431800842},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11963492631912231}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8528561592102051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6810758113861084},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6560856699943542},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6341059803962708},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6323701739311218},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.549888014793396},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5458865165710449},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5435646772384644},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5197374820709229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4883379638195038},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4673882722854614},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.46703028678894043},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4242889881134033},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4132738709449768},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3305691182613373},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18485799431800842},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11963492631912231},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scisisis50064.2020.9322697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis50064.2020.9322697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W47058917","https://openalex.org/W100223930","https://openalex.org/W1565902586","https://openalex.org/W1574656525","https://openalex.org/W2170539222","https://openalex.org/W2577770140","https://openalex.org/W2912074260","https://openalex.org/W2917884856","https://openalex.org/W3048781873","https://openalex.org/W6601885039","https://openalex.org/W6604081424","https://openalex.org/W6685104253","https://openalex.org/W6731938624","https://openalex.org/W6759768743"],"related_works":["https://openalex.org/W2347477706","https://openalex.org/W2380784125","https://openalex.org/W2810025138","https://openalex.org/W1997711767","https://openalex.org/W2344475471","https://openalex.org/W128985311","https://openalex.org/W2765894738","https://openalex.org/W1515021623","https://openalex.org/W3155171010","https://openalex.org/W2119862467"],"abstract_inverted_index":{"We":[0],"propose":[1],"real-coded":[2,61],"genetic":[3,27,62],"algorithms":[4,28,58],"that":[5,55],"utilize":[6],"a":[7],"method":[8,16],"for":[9],"detecting":[10],"dependency":[11,36],"relationships":[12],"between":[13,38],"variables.":[14],"The":[15,25],"consists":[17],"of":[18],"neural":[19],"network":[20],"regression":[21],"and":[22],"group":[23],"lasso.":[24],"proposed":[26,57],"select":[29],"an":[30],"appropriate":[31],"crossover":[32],"operator":[33],"based":[34],"on":[35],"information":[37],"variables,":[39],"which":[40],"are":[41],"obtained":[42],"from":[43],"past":[44],"solution":[45],"candidates.":[46],"Simulation":[47],"results":[48],"using":[49],"the":[50,56],"CEC'13":[51],"benchmark":[52],"functions":[53],"show":[54],"outperform":[59],"conventional":[60],"algorithms.":[63]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}