{"id":"https://openalex.org/W1970158899","doi":"https://doi.org/10.1109/icsmc.2010.5641854","title":"Global optimization using a multi-point type quasi-chaotic optimization method with the simultaneous perturbation gradient approximation","display_name":"Global optimization using a multi-point type quasi-chaotic optimization method with the simultaneous perturbation gradient approximation","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W1970158899","doi":"https://doi.org/10.1109/icsmc.2010.5641854","mag":"1970158899"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2010.5641854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5641854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","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/A5063868921","display_name":"Takashi Okamoto","orcid":"https://orcid.org/0000-0003-0137-2490"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takashi Okamoto","raw_affiliation_strings":["Graduate School of Engineering, Chiba University, Chiba, Japan","Graduate School of Engineering, Chiba Univ. (Japan)"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]},{"raw_affiliation_string":"Graduate School of Engineering, Chiba Univ. (Japan)","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112205752","display_name":"Hironori Hirata","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hironori Hirata","raw_affiliation_strings":["Graduate School of Engineering, Chiba University, Chiba, Japan","Graduate School of Engineering, Chiba Univ. (Japan)"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]},{"raw_affiliation_string":"Graduate School of Engineering, Chiba Univ. (Japan)","institution_ids":["https://openalex.org/I159385669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063868921"],"corresponding_institution_ids":["https://openalex.org/I159385669"],"apc_list":null,"apc_paid":null,"fwci":2.2552,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88711064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"804","last_page":"809"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9961000084877014,"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":0.9961000084877014,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9768999814987183,"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/T12158","display_name":"Guidance and Control Systems","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6555137038230896},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.6424863338470459},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.6018527150154114},{"id":"https://openalex.org/keywords/random-optimization","display_name":"Random optimization","score":0.6009981632232666},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5900063514709473},{"id":"https://openalex.org/keywords/gradient-method","display_name":"Gradient method","score":0.5743299722671509},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5239710211753845},{"id":"https://openalex.org/keywords/proximal-gradient-methods","display_name":"Proximal Gradient Methods","score":0.49556243419647217},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.456083744764328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41122400760650635},{"id":"https://openalex.org/keywords/continuous-optimization","display_name":"Continuous optimization","score":0.3692868947982788},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.35084351897239685},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.2327621877193451},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.21933504939079285},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09089630842208862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07284113764762878},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07107621431350708}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6555137038230896},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.6424863338470459},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.6018527150154114},{"id":"https://openalex.org/C109578324","wikidata":"https://www.wikidata.org/wiki/Q3354463","display_name":"Random optimization","level":5,"score":0.6009981632232666},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5900063514709473},{"id":"https://openalex.org/C115680565","wikidata":"https://www.wikidata.org/wiki/Q5977448","display_name":"Gradient method","level":2,"score":0.5743299722671509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5239710211753845},{"id":"https://openalex.org/C10494615","wikidata":"https://www.wikidata.org/wiki/Q17086765","display_name":"Proximal Gradient Methods","level":4,"score":0.49556243419647217},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.456083744764328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41122400760650635},{"id":"https://openalex.org/C92995354","wikidata":"https://www.wikidata.org/wiki/Q5165499","display_name":"Continuous optimization","level":4,"score":0.3692868947982788},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35084351897239685},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.2327621877193451},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.21933504939079285},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09089630842208862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07284113764762878},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07107621431350708},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2010.5641854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5641854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1603057632","https://openalex.org/W1620414136","https://openalex.org/W1903348176","https://openalex.org/W1973158011","https://openalex.org/W2007099865","https://openalex.org/W2022542416","https://openalex.org/W2058402310","https://openalex.org/W2074001187","https://openalex.org/W2124289529","https://openalex.org/W2137514952","https://openalex.org/W2240235720","https://openalex.org/W4233996393","https://openalex.org/W4292880809","https://openalex.org/W6636022046","https://openalex.org/W6703967216","https://openalex.org/W6819451924"],"related_works":["https://openalex.org/W2963086517","https://openalex.org/W2564735875","https://openalex.org/W3123504125","https://openalex.org/W3147739796","https://openalex.org/W2353523849","https://openalex.org/W2088150073","https://openalex.org/W1983212821","https://openalex.org/W1988325824","https://openalex.org/W3155824692","https://openalex.org/W2739424705"],"abstract_inverted_index":{"In":[0,103],"this":[1,104],"study,":[2,105],"we":[3,106,149],"propose":[4],"a":[5,20,38,58,77,89,136],"new":[6],"global":[7,39,54],"optimization":[8,24,30,40,45,72,118,130,162],"method":[9,41,73,119,131,155],"in":[10,47,93,120],"which":[11,32,48,52,94],"the":[12,97,108,114,128,153],"simultaneous":[13,109],"perturbation":[14,110],"gradient":[15,60,75,95,111,124],"approximation":[16,112],"is":[17,37,86],"introduced":[18],"into":[19,113],"multi-point":[21,27,115],"type":[22,28,116],"chaotic":[23,29,59,71,117,129],"method.":[25],"The":[26,70],"method,":[31],"has":[33],"been":[34],"proposed":[35,154],"recently,":[36],"to":[42,65,88,122,135,158,168],"solve":[43],"unconstrained":[44,160],"problems":[46,92,139,163],"multiple":[49],"search":[50,55,68,81],"points":[51],"implement":[53],"driven":[56],"by":[57],"dynamic":[61],"model":[62],"are":[63],"synchronized":[64],"their":[66],"elite":[67],"points.":[69,82],"uses":[74],"as":[76],"driving":[78],"force":[79],"for":[80],"Hence,":[83],"its":[84],"application":[85],"confined":[87],"class":[90,137],"of":[91,96,138,152],"objective":[98,141],"function":[99,142],"can":[100,132,145],"be":[101,133,146],"computed.":[102,147],"introduce":[107],"order":[121],"compute":[123],"approximately":[125],"so":[126],"that":[127],"applied":[134],"whose":[140],"values":[143],"only":[144],"Then,":[148],"confirm":[150],"effectiveness":[151],"through":[156],"applications":[157],"several":[159],"multi-peaked":[161],"with":[164],"100":[165],"variables":[166],"comparing":[167],"other":[169],"major":[170],"meta-heuristics.":[171]},"counts_by_year":[{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}