{"id":"https://openalex.org/W1547834966","doi":"https://doi.org/10.23919/ecc.2003.7086489","title":"Function optimization by simultaneous perturbation stochastic approximation with randomly varying truncations","display_name":"Function optimization by simultaneous perturbation stochastic approximation with randomly varying truncations","publication_year":2003,"publication_date":"2003-09-01","ids":{"openalex":"https://openalex.org/W1547834966","doi":"https://doi.org/10.23919/ecc.2003.7086489","mag":"1547834966"},"language":"en","primary_location":{"id":"doi:10.23919/ecc.2003.7086489","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc.2003.7086489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 European Control Conference (ECC)","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/A5087453048","display_name":"Kohei Uosaki","orcid":"https://orcid.org/0000-0001-8886-3270"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Katsuji Uosaki","raw_affiliation_strings":["Department of Information and Physical Sciences, Graduate School of Information Science and Technology, Osaka University, Suita, Osaka 565-0871 Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information and Physical Sciences, Graduate School of Information Science and Technology, Osaka University, Suita, Osaka 565-0871 Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065133555","display_name":"Toshiharu Hatanaka","orcid":"https://orcid.org/0000-0003-3670-6825"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshiharu Hatanaka","raw_affiliation_strings":["Department of Information and Physical Sciences, Graduate School of Information Science and Technology, Osaka University, Suita, Osaka 565-0871 Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information and Physical Sciences, Graduate School of Information Science and Technology, Osaka University, Suita, Osaka 565-0871 Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032783898","display_name":"Akihiko Yonemochi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160285","display_name":"Epson Information Technology College","ror":"https://ror.org/0555yfc83","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210160285"]},{"id":"https://openalex.org/I4210139203","display_name":"Seiko Holdings (Japan)","ror":"https://ror.org/042n1zz26","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210139203"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akihiko Yonemochi","raw_affiliation_strings":["Seiko Epson Corp., Suwa, Nagano 392-8502 Japan"],"affiliations":[{"raw_affiliation_string":"Seiko Epson Corp., Suwa, Nagano 392-8502 Japan","institution_ids":["https://openalex.org/I4210160285","https://openalex.org/I4210139203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112593034","display_name":"Han-Fu Chen","orcid":"https://orcid.org/0000-0003-3429-3270"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han-Fu Chen","raw_affiliation_strings":["Institute of Systems Science, Chinese Academy of Science, Beijing 100080, P. R. China"],"affiliations":[{"raw_affiliation_string":"Institute of Systems Science, Chinese Academy of Science, Beijing 100080, P. R. China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087453048"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09437109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2951","last_page":"2955"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9925000071525574,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/simultaneous-perturbation-stochastic-approximation","display_name":"Simultaneous perturbation stochastic approximation","score":0.98783278465271},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.7309156656265259},{"id":"https://openalex.org/keywords/stochastic-approximation","display_name":"Stochastic approximation","score":0.5709449052810669},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5227006673812866},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5064395666122437},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.5050287842750549},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4792994558811188},{"id":"https://openalex.org/keywords/function-approximation","display_name":"Function approximation","score":0.47483545541763306},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4693288207054138},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39920124411582947},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.3982832431793213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3945319354534149},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12454617023468018},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08740755915641785},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.061458855867385864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.057787686586380005}],"concepts":[{"id":"https://openalex.org/C2779880469","wikidata":"https://www.wikidata.org/wiki/Q17084424","display_name":"Simultaneous perturbation stochastic approximation","level":3,"score":0.98783278465271},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.7309156656265259},{"id":"https://openalex.org/C55479107","wikidata":"https://www.wikidata.org/wiki/Q97663916","display_name":"Stochastic approximation","level":3,"score":0.5709449052810669},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5227006673812866},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5064395666122437},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.5050287842750549},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4792994558811188},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.47483545541763306},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4693288207054138},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39920124411582947},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.3982832431793213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3945319354534149},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12454617023468018},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08740755915641785},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.061458855867385864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.057787686586380005},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ecc.2003.7086489","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc.2003.7086489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 European Control Conference (ECC)","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":6,"referenced_works":["https://openalex.org/W197263747","https://openalex.org/W1979761486","https://openalex.org/W1994616650","https://openalex.org/W2009797711","https://openalex.org/W2124289529","https://openalex.org/W7006019768"],"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/W4387970357"],"abstract_inverted_index":{"A":[0],"new":[1],"recursive":[2],"algorithm":[3,31],"is":[4,16,21,32,52],"proposed":[5,69],"for":[6],"finding":[7],"the":[8,24,28,35,49,58,65,68],"minimum":[9],"of":[10,27,67],"an":[11],"objective":[12],"function":[13],"whose":[14],"gradient":[15],"not":[17],"obtainable":[18],"directly":[19],"but":[20],"approximated":[22],"from":[23],"noisy":[25],"observations":[26],"function.":[29],"The":[30],"based":[33],"on":[34],"simultaneous":[36],"perturbation":[37],"stochastic":[38],"approximation":[39],"method":[40],"(SPSA)":[41],"combined":[42],"with":[43],"randomly":[44],"varying":[45],"truncations,":[46],"and":[47],"provides":[48],"estimate,":[50],"which":[51],"convergent":[53],"under":[54],"weaker":[55],"conditions":[56],"than":[57],"conventional":[59],"SPSA.":[60],"Numerical":[61],"simulation":[62],"studies":[63],"illustrate":[64],"applicability":[66],"algorithm.":[70]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}