{"id":"https://openalex.org/W2558730691","doi":"https://doi.org/10.1109/cec.2016.7744192","title":"A simultaneous perturbation stochastic approximation enhanced teaching-learning based optimization","display_name":"A simultaneous perturbation stochastic approximation enhanced teaching-learning based optimization","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2558730691","doi":"https://doi.org/10.1109/cec.2016.7744192","mag":"2558730691"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2016.7744192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","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/A5100346414","display_name":"Ao Liu","orcid":"https://orcid.org/0000-0002-3308-3311"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ao Liu","raw_affiliation_strings":["School of Management Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Management Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012940916","display_name":"Xudong Deng","orcid":"https://orcid.org/0009-0006-4740-3677"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Deng","raw_affiliation_strings":["School of Management Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Management Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066845834","display_name":"Zeping Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeping Tong","raw_affiliation_strings":["School of Management Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Management Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073971490","display_name":"Yongliang Luo","orcid":"https://orcid.org/0009-0008-8260-4233"},"institutions":[{"id":"https://openalex.org/I4210138233","display_name":"Beijing Urban Systems Engineering Research Center","ror":"https://ror.org/03cxfcq46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210138233"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongliang Luo","raw_affiliation_strings":["Systems Engineering Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Systems Engineering Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210138233"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100461675","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0002-6615-6601"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210120485","display_name":"Academy of Mathematics and Systems Science","ror":"https://ror.org/02jkmyk67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210120485"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["Academy of Mathematics and Systems Science Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Academy of Mathematics and Systems Science Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210120485","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100346414"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":0.8569,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84623687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"434","issue":null,"first_page":"3186","last_page":"3192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994999766349792,"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":0.9994999766349792,"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":0.98580002784729,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9761000275611877,"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/simultaneous-perturbation-stochastic-approximation","display_name":"Simultaneous perturbation stochastic approximation","score":0.9208815097808838},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"Premature convergence","score":0.6772816181182861},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.6712670922279358},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6615973114967346},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6588889956474304},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6321253776550293},{"id":"https://openalex.org/keywords/memetic-algorithm","display_name":"Memetic algorithm","score":0.5744684338569641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5635414719581604},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.5194568037986755},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5158507227897644},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.47218266129493713},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.46818649768829346},{"id":"https://openalex.org/keywords/stochastic-approximation","display_name":"Stochastic approximation","score":0.44448283314704895},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.38288435339927673},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.2890831232070923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2700543999671936},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.18102982640266418},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06866908073425293},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.05589640140533447}],"concepts":[{"id":"https://openalex.org/C2779880469","wikidata":"https://www.wikidata.org/wiki/Q17084424","display_name":"Simultaneous perturbation stochastic approximation","level":3,"score":0.9208815097808838},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.6772816181182861},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.6712670922279358},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6615973114967346},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6588889956474304},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6321253776550293},{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.5744684338569641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5635414719581604},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.5194568037986755},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5158507227897644},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.47218266129493713},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.46818649768829346},{"id":"https://openalex.org/C55479107","wikidata":"https://www.wikidata.org/wiki/Q97663916","display_name":"Stochastic approximation","level":3,"score":0.44448283314704895},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.38288435339927673},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.2890831232070923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2700543999671936},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.18102982640266418},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06866908073425293},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.05589640140533447},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2016.7744192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W18216792","https://openalex.org/W27366642","https://openalex.org/W359561291","https://openalex.org/W807961430","https://openalex.org/W1541288193","https://openalex.org/W1573676079","https://openalex.org/W1595159159","https://openalex.org/W1603057632","https://openalex.org/W1659842140","https://openalex.org/W1978511599","https://openalex.org/W1983833629","https://openalex.org/W1999284878","https://openalex.org/W2008434012","https://openalex.org/W2021253717","https://openalex.org/W2021905979","https://openalex.org/W2023702796","https://openalex.org/W2040049280","https://openalex.org/W2045725918","https://openalex.org/W2066650517","https://openalex.org/W2072507323","https://openalex.org/W2075519825","https://openalex.org/W2079432374","https://openalex.org/W2095514252","https://openalex.org/W2104274529","https://openalex.org/W2109364787","https://openalex.org/W2111811973","https://openalex.org/W2122702777","https://openalex.org/W2128452997","https://openalex.org/W2129120446","https://openalex.org/W2131476396","https://openalex.org/W2135646341","https://openalex.org/W2139634699","https://openalex.org/W2152631195","https://openalex.org/W2153721878","https://openalex.org/W2154047522","https://openalex.org/W2182761707","https://openalex.org/W2183984143","https://openalex.org/W2734870733","https://openalex.org/W3140895391","https://openalex.org/W4254313632","https://openalex.org/W4285719527","https://openalex.org/W4292083457","https://openalex.org/W4301014524","https://openalex.org/W6600754543","https://openalex.org/W6666978902","https://openalex.org/W6686280248","https://openalex.org/W6741320478"],"related_works":["https://openalex.org/W2038213655","https://openalex.org/W2079907724","https://openalex.org/W2546134129","https://openalex.org/W2169111093","https://openalex.org/W4382936136","https://openalex.org/W2104712676","https://openalex.org/W2118205332","https://openalex.org/W1973158011","https://openalex.org/W2885971921","https://openalex.org/W103092118"],"abstract_inverted_index":{"As":[0],"a":[1,44],"novel":[2],"population-based":[3],"optimization":[4,36],"algorithm,":[5,47],"Teaching-Learning":[6],"based":[7],"Optimization":[8],"(TLBO)":[9],"possesses":[10],"the":[11,24,62,73,91,102,106,112,118],"advantages":[12],"of":[13,111],"single":[14],"tuned":[15],"parameter":[16],"and":[17,71,76,88,114,121],"global":[18,74],"fast":[19],"coarse":[20],"search":[21,69],"capability,":[22],"at":[23],"same":[25],"time":[26],"it":[27],"risks":[28],"being":[29],"trapped":[30],"in":[31,52,109],"local":[32,68,77],"optima":[33],"for":[34,123],"function":[35],"due":[37],"to":[38,65],"premature":[39],"convergence.":[40],"In":[41],"this":[42],"paper,":[43],"TLBO-based":[45],"memetic":[46],"namely":[48],"TLBO-SPSA,":[49],"is":[50,59],"proposed,":[51],"which":[53],"simultaneous":[54],"perturbation":[55],"stochastic":[56],"approximation":[57],"(SPSA)":[58],"incorporated":[60],"into":[61],"canonical":[63],"TLBO":[64],"enhance":[66],"its":[67],"capability":[70],"balance":[72],"exploration":[75],"exploitation":[78],"as":[79],"well.":[80],"Numerical":[81],"results":[82],"on":[83],"six":[84],"well-known":[85],"benchmark":[86],"problems":[87],"comparisons":[89],"with":[90],"state-of-the-art":[92],"algorithms,":[93],"e.g.,":[94],"conventional":[95],"TLBO,":[96],"I-TLBO,":[97],"LGMS-FFO,":[98],"IFFO,":[99],"show":[100],"that":[101],"proposed":[103],"TLBO-SPSA":[104],"outperforms":[105],"other":[107],"algorithms":[108],"terms":[110],"accuracy":[113],"convergence":[115],"rate,":[116],"especially":[117],"superior":[119],"performance":[120],"robustness":[122],"solving":[124],"higher":[125],"dimensional":[126],"problems.":[127]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}