{"id":"https://openalex.org/W2276811019","doi":"https://doi.org/10.1007/s00500-016-2067-4","title":"Simulated annealing least squares twin support vector machine (SA-LSTSVM) for pattern classification","display_name":"Simulated annealing least squares twin support vector machine (SA-LSTSVM) for pattern classification","publication_year":2016,"publication_date":"2016-02-25","ids":{"openalex":"https://openalex.org/W2276811019","doi":"https://doi.org/10.1007/s00500-016-2067-4","mag":"2276811019"},"language":"en","primary_location":{"id":"doi:10.1007/s00500-016-2067-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00500-016-2067-4","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs00500-016-2067-4.pdf","source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs00500-016-2067-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057946130","display_name":"Javad Salimi Sartakhti","orcid":"https://orcid.org/0000-0003-1183-1232"},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Javad Salimi Sartakhti","raw_affiliation_strings":["Department of Electrical and Computer Engineering (ECE), Isfahan University of Technology (IUT), 84156-83111, Esfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering (ECE), Isfahan University of Technology (IUT), 84156-83111, Esfahan, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000594867","display_name":"Homayun Afrabandpey","orcid":"https://orcid.org/0000-0001-7639-1501"},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Homayun Afrabandpey","raw_affiliation_strings":["Department of Electrical and Computer Engineering (ECE), Isfahan University of Technology (IUT), 84156-83111, Esfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering (ECE), Isfahan University of Technology (IUT), 84156-83111, Esfahan, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051059716","display_name":"Mohamad Saraee","orcid":"https://orcid.org/0000-0002-3283-1912"},"institutions":[{"id":"https://openalex.org/I54459138","display_name":"University of Salford","ror":"https://ror.org/01tmqtf75","country_code":"GB","type":"education","lineage":["https://openalex.org/I54459138"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mohamad Saraee","raw_affiliation_strings":["School of Computing, Science and Engineering, University of Salford, Greater Manchester, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Science and Engineering, University of Salford, Greater Manchester, UK","institution_ids":["https://openalex.org/I54459138"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051059716"],"corresponding_institution_ids":["https://openalex.org/I54459138"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.8585,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.90035236,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"15","first_page":"4361","last_page":"4373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9970999956130981,"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/T10057","display_name":"Face and Expression Recognition","score":0.9970999956130981,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9886999726295471,"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/support-vector-machine","display_name":"Support vector machine","score":0.8166000843048096},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.7569351196289062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6433879137039185},{"id":"https://openalex.org/keywords/adaptive-simulated-annealing","display_name":"Adaptive simulated annealing","score":0.605781078338623},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5796641707420349},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.55009526014328},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4762006998062134},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"Least squares support vector machine","score":0.44450944662094116},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.41388243436813354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29853230714797974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19730529189109802}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8166000843048096},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.7569351196289062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6433879137039185},{"id":"https://openalex.org/C46714192","wikidata":"https://www.wikidata.org/wiki/Q4680763","display_name":"Adaptive simulated annealing","level":3,"score":0.605781078338623},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5796641707420349},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.55009526014328},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4762006998062134},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.44450944662094116},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.41388243436813354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29853230714797974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19730529189109802},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00500-016-2067-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00500-016-2067-4","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs00500-016-2067-4.pdf","source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"},{"id":"pmh:oai:usir.salford.ac.uk:37958","is_oa":true,"landing_page_url":"http://usir.salford.ac.uk/id/eprint/37958/7/Simulated%20Annealing%20Least%20Squares%20Twin%20Support.pdf","pdf_url":"http://usir.salford.ac.uk/id/eprint/37958/13/art_10.1007_s00500-016-2067-4.pdf","source":{"id":"https://openalex.org/S4306401501","display_name":"University of Salford Institutional Repository (University of Salford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I54459138","host_organization_name":"University of Salford","host_organization_lineage":["https://openalex.org/I54459138"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1007/s00500-016-2067-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00500-016-2067-4","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs00500-016-2067-4.pdf","source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2276811019.pdf","grobid_xml":"https://content.openalex.org/works/W2276811019.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1596717185","https://openalex.org/W1965202052","https://openalex.org/W1983024255","https://openalex.org/W1995013121","https://openalex.org/W2000950277","https://openalex.org/W2001474526","https://openalex.org/W2004288989","https://openalex.org/W2019184604","https://openalex.org/W2020355555","https://openalex.org/W2024060531","https://openalex.org/W2037575202","https://openalex.org/W2061554433","https://openalex.org/W2069231281","https://openalex.org/W2072880371","https://openalex.org/W2082036180","https://openalex.org/W2090089568","https://openalex.org/W2101778643","https://openalex.org/W2119821739","https://openalex.org/W2125055259","https://openalex.org/W2132425109","https://openalex.org/W2139212933","https://openalex.org/W2143328598","https://openalex.org/W2143426320","https://openalex.org/W2146713522","https://openalex.org/W2154061444","https://openalex.org/W2163140472","https://openalex.org/W2170860445","https://openalex.org/W2320421650","https://openalex.org/W3120740533","https://openalex.org/W3135029803","https://openalex.org/W3193477162","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2026297137","https://openalex.org/W2395791716","https://openalex.org/W169774068","https://openalex.org/W2373401521","https://openalex.org/W2068783850","https://openalex.org/W2353361148","https://openalex.org/W2120069041","https://openalex.org/W2382882716","https://openalex.org/W2372296565","https://openalex.org/W2276811019"],"abstract_inverted_index":{"Least":[0],"squares":[1],"twin":[2,20],"support":[3,13],"vector":[4,14],"machine":[5,15],"(LSTSVM)":[6],"is":[7,24,70,116,142,165],"a":[8,71,82,92,107],"relatively":[9],"new":[10],"version":[11],"of":[12,40,49,64,81,113,121,161,182,188,196],"(SVM)":[16],"based":[17],"on":[18,37,139,153],"non-parallel":[19],"hyperplanes.":[21],"Although,":[22],"LSTSVM":[23,123,141,201],"an":[25],"extremely":[26],"efficient":[27],"and":[28,202],"fast":[29],"algorithm":[30,52,124,164,184,191,198],"for":[31,56,144],"binary":[32],"classification,":[33],"its":[34,98],"parameters":[35,45,57],"depend":[36],"the":[38,41,47,51,62,65,78,89,119,122,140,145,159,162,175,183,186,189,193,197],"nature":[39],"problem.":[42],"Problem":[43],"dependent":[44],"make":[46],"process":[48,90],"tuning":[50],"with":[53,128],"best":[54],"values":[55],"very":[58,166],"difficult,":[59],"which":[60],"affects":[61],"accuracy":[63,120,160],"algorithm.":[66],"Simulated":[67],"annealing":[68],"(SA)":[69],"random":[72],"search":[73],"technique":[74],"proposed":[75,163,190],"to":[76,117,133,170],"find":[77],"global":[79],"minimum":[80,108],"cost":[83],"function.":[84],"It":[85],"works":[86],"by":[87,125],"emulating":[88],"where":[91,192],"metal":[93],"slowly":[94],"cooled":[95],"so":[96],"that":[97,136,158],"structure":[99],"finally":[100],"\u201cfreezes\u201d.":[101],"This":[102],"freezing":[103],"point":[104],"happens":[105],"at":[106],"energy":[109],"configuration.":[110],"The":[111],"goal":[112],"this":[114,137,149],"paper":[115],"improve":[118],"hybridizing":[126],"it":[127],"simulated":[129],"annealing.":[130],"Our":[131],"research":[132],"date":[134],"suggests":[135],"improvement":[138],"made":[143],"first":[146],"time":[147,180,195],"in":[148,174],"paper.":[150],"Experimental":[151],"results":[152],"several":[154],"benchmark":[155],"datasets":[156],"demonstrate":[157],"promising":[167],"when":[168],"compared":[169],"other":[171],"classification":[172],"methods":[173],"literature.":[176],"In":[177],"addition,":[178],"computational":[179,194],"analysis":[181],"showed":[185],"practicality":[187],"falls":[199],"between":[200],"SVM.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-05-15T08:27:34.491423","created_date":"2025-10-10T00:00:00"}