{"id":"https://openalex.org/W2774991412","doi":"https://doi.org/10.1109/smc.2017.8122911","title":"Extending the SVM integration with case based restarting GA to predict solar flare","display_name":"Extending the SVM integration with case based restarting GA to predict solar flare","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2774991412","doi":"https://doi.org/10.1109/smc.2017.8122911","mag":"2774991412"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2017.8122911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5040547853","display_name":"Yoshihiko Kubota","orcid":"https://orcid.org/0009-0001-7959-2787"},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yoshihiko Kubota","raw_affiliation_strings":["School of Information Environment Tokyo Denki University, Inzai, Japan"],"affiliations":[{"raw_affiliation_string":"School of Information Environment Tokyo Denki University, Inzai, Japan","institution_ids":["https://openalex.org/I165522056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112624843","display_name":"Setsuo Tsuruta","orcid":null},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Setsuo Tsuruta","raw_affiliation_strings":["School of Information Environment Tokyo Denki University, Inzai, Japan"],"affiliations":[{"raw_affiliation_string":"School of Information Environment Tokyo Denki University, Inzai, Japan","institution_ids":["https://openalex.org/I165522056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004722434","display_name":"Takayuki Muranushi","orcid":"https://orcid.org/0000-0002-0746-1235"},"institutions":[{"id":"https://openalex.org/I4210129730","display_name":"RIKEN Center for Computational Science","ror":"https://ror.org/03r519674","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210129730"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Muranushi","raw_affiliation_strings":["RIKEN Advanced Institute for Computational Science, Chuo-ku Kobe, Hyogo, Japan"],"affiliations":[{"raw_affiliation_string":"RIKEN Advanced Institute for Computational Science, Chuo-ku Kobe, Hyogo, Japan","institution_ids":["https://openalex.org/I4210129730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003447453","display_name":"Yuko Hada-Muranushi","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuko Hada-Muranushi","raw_affiliation_strings":["Kwasan and Hida Observatories Kyoto University, Yamashina-ku, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kwasan and Hida Observatories Kyoto University, Yamashina-ku, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086063823","display_name":"Rainer Knauf","orcid":"https://orcid.org/0000-0001-8795-6360"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rainer Knauf","raw_affiliation_strings":["Faculty of Computer Science and Automation, Ilmenau University of Technology, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Automation, Ilmenau University of Technology, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112359845","display_name":"Yoshitaka Sakurai","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshitaka Sakurai","raw_affiliation_strings":["School of Interdisciplinary Mathematical Sciences, Meiji University, Nakano, Japan"],"affiliations":[{"raw_affiliation_string":"School of Interdisciplinary Mathematical Sciences, Meiji University, Nakano, Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075830877","display_name":"Ernesto Damiani","orcid":"https://orcid.org/0000-0002-9557-6496"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ernesto Damiani","raw_affiliation_strings":["Department of Computer Science, Universita' degli Studi di Milano, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Universita' degli Studi di Milano, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5040547853"],"corresponding_institution_ids":["https://openalex.org/I165522056"],"apc_list":null,"apc_paid":null,"fwci":0.182,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58861776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"595","issue":null,"first_page":"1994","last_page":"1999"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9643999934196472,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T14319","display_name":"Currency Recognition and Detection","score":0.9643999934196472,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9477999806404114,"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/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9264000058174133,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7661294341087341},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.676171064376831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5679160356521606},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5621363520622253},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5597231984138489},{"id":"https://openalex.org/keywords/solar-flare","display_name":"Solar flare","score":0.5047472715377808},{"id":"https://openalex.org/keywords/flare","display_name":"Flare","score":0.44700151681900024},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4240492880344391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36939772963523865},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3208838701248169},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3006511330604553},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2509448826313019},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20700818300247192},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.09591469168663025},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09542402625083923}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7661294341087341},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.676171064376831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5679160356521606},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5621363520622253},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5597231984138489},{"id":"https://openalex.org/C185001636","wikidata":"https://www.wikidata.org/wiki/Q119830","display_name":"Solar flare","level":2,"score":0.5047472715377808},{"id":"https://openalex.org/C2779588948","wikidata":"https://www.wikidata.org/wiki/Q628261","display_name":"Flare","level":2,"score":0.44700151681900024},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4240492880344391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36939772963523865},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3208838701248169},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3006511330604553},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2509448826313019},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20700818300247192},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.09591469168663025},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09542402625083923},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2017.8122911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1504886722","https://openalex.org/W1623006543","https://openalex.org/W1839630305","https://openalex.org/W1891240508","https://openalex.org/W1959998928","https://openalex.org/W1974902023","https://openalex.org/W2009666024","https://openalex.org/W2029038480","https://openalex.org/W2033706575","https://openalex.org/W2035582999","https://openalex.org/W2055916162","https://openalex.org/W2068747474","https://openalex.org/W2076123117","https://openalex.org/W2082719813","https://openalex.org/W2102042772","https://openalex.org/W2110362175","https://openalex.org/W2119821739","https://openalex.org/W2124410915","https://openalex.org/W2136911043","https://openalex.org/W2153635508","https://openalex.org/W2486715098","https://openalex.org/W2549449189","https://openalex.org/W2558813970","https://openalex.org/W2586939455","https://openalex.org/W2775362455","https://openalex.org/W3102688741","https://openalex.org/W3102780218","https://openalex.org/W6636749155"],"related_works":["https://openalex.org/W2104143565","https://openalex.org/W1529285236","https://openalex.org/W4391503899","https://openalex.org/W2027190773","https://openalex.org/W1976886998","https://openalex.org/W3174659840","https://openalex.org/W1649705128","https://openalex.org/W161133865","https://openalex.org/W1546351615","https://openalex.org/W2033757218"],"abstract_inverted_index":{"Human":[0],"life":[1],"can":[2],"be":[3],"seriously":[4],"affected":[5],"by":[6],"unusual":[7],"high":[8,145],"solar":[9,25,39],"flare.":[10],"It":[11],"causes":[12],"serious":[13],"problems":[14],"such":[15,49,71,136,185],"as":[16,72,137,149,186],"destroying":[17],"satellites,":[18],"damaging":[19],"electric":[20],"power":[21],"plants,":[22],"etc.":[23,140],"Predicting":[24],"flare":[26,40],"peaks":[27],"is":[28,51,108,160],"indispensable.":[29],"Support":[30],"Vector":[31],"Machine":[32],"(SVM)":[33],"was":[34,74,87],"used":[35,148],"to":[36,113],"predict":[37],"the":[38,46,150],"intensity":[41],"based":[42],"on":[43],"data":[44],"of":[45,166],"past.":[47],"However,":[48,106],"prediction":[50],"an":[52],"extremely":[53],"difficult":[54],"imbalanced":[55],"classification":[56],"problem":[57],"causing":[58],"a":[59,68,80,111,125,182],"very":[60],"large":[61],"scale":[62],"combinatorial":[63],"problem.":[64],"To":[65],"overcome":[66],"this,":[67],"local":[69,118,183],"optimizer":[70,184],"SVM":[73,104],"cooperatively":[75],"or":[76,117],"synergistically":[77],"integrated":[78],"with":[79,93,133,142,169],"case":[81],"base":[82],"and":[83],"GA.":[84],"This":[85,97,122,156],"extension":[86],"called":[88,161],"Case":[89],"Based":[90,164],"Genetic":[91],"Algorithm":[92],"Local":[94,170],"Optimizer":[95],"(CBGALO).":[96],"synergetic":[98,158],"technology":[99,159],"outperformed":[100,177],"around":[101,178],"10%":[102],"over":[103,180],"only.":[105],"GA":[107,131,168],"known":[109],"for":[110],"tendency":[112],"fall":[114],"into":[115],"stagnation":[116],"optima":[119],"without":[120],"improving.":[121],"paper":[123],"presents":[124],"further":[126],"extended":[127],"strategy":[128],"which":[129],"introduces":[130],"restarting":[132],"various":[134,143],"operations":[135],"mutation":[138],"rate":[139],"especially":[141],"but":[144],"quality":[146],"cases":[147],"initial":[151],"population":[152],"at":[153],"each":[154],"restart.":[155],"highly":[157],"CBRSGALO":[162,176],"(Case":[163],"integration":[165],"ReStart":[167],"Optimizer).":[171],"Experimental":[172],"evaluation":[173],"showed":[174],"that":[175],"20%":[179],"just":[181],"SVM.":[187]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}