{"id":"https://openalex.org/W2767867108","doi":"https://doi.org/10.1109/icdsp.2017.8096072","title":"A modified stochastic response surface algorithm for expensive black-box global optimization","display_name":"A modified stochastic response surface algorithm for expensive black-box global optimization","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2767867108","doi":"https://doi.org/10.1109/icdsp.2017.8096072","mag":"2767867108"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2017.8096072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2017.8096072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 22nd International Conference on Digital Signal Processing (DSP)","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/A5102057509","display_name":"Fusheng Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fusheng Bai","raw_affiliation_strings":["School of Mathematical Sciences, Chongqing Normal University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Chongqing Normal University, Chongqing, China","institution_ids":["https://openalex.org/I126924076"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001078878","display_name":"Zhe Zhou","orcid":"https://orcid.org/0000-0001-7929-8054"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Zhou","raw_affiliation_strings":["School of Mathematical Sciences, Chongqing Normal University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Chongqing Normal University, Chongqing, China","institution_ids":["https://openalex.org/I126924076"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102057509"],"corresponding_institution_ids":["https://openalex.org/I126924076"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19603822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9987999796867371,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9951000213623047,"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.627208948135376},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5925512313842773},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.5844495296478271},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.5745115280151367},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5743224620819092},{"id":"https://openalex.org/keywords/random-search","display_name":"Random search","score":0.5057592391967773},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.4974398910999298},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.49572551250457764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4861457049846649},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4666597545146942},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42496049404144287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09472757577896118},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05839681625366211}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.627208948135376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5925512313842773},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.5844495296478271},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.5745115280151367},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5743224620819092},{"id":"https://openalex.org/C126661757","wikidata":"https://www.wikidata.org/wiki/Q4925641","display_name":"Random search","level":2,"score":0.5057592391967773},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.4974398910999298},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.49572551250457764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4861457049846649},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4666597545146942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42496049404144287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09472757577896118},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05839681625366211},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdsp.2017.8096072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2017.8096072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 22nd International Conference on Digital Signal Processing (DSP)","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/W4617096","https://openalex.org/W1510052597","https://openalex.org/W1573878755","https://openalex.org/W1966878414","https://openalex.org/W1967569802","https://openalex.org/W1985412770","https://openalex.org/W1988945200","https://openalex.org/W1997869834","https://openalex.org/W2003839735","https://openalex.org/W2013596835","https://openalex.org/W2044771513","https://openalex.org/W2063180182","https://openalex.org/W2070425636","https://openalex.org/W2163913714","https://openalex.org/W4388249735","https://openalex.org/W6858068732"],"related_works":["https://openalex.org/W3182909153","https://openalex.org/W4230482078","https://openalex.org/W2783540637","https://openalex.org/W2020667009","https://openalex.org/W2376417135","https://openalex.org/W2067173785","https://openalex.org/W2778065156","https://openalex.org/W4386913846","https://openalex.org/W2787524754","https://openalex.org/W2949382316"],"abstract_inverted_index":{"In":[0,45,100],"this":[1],"paper,":[2],"a":[3],"modified":[4],"stochastic":[5],"response":[6,57,97],"surface":[7,58,98],"algorithm":[8,31,128],"is":[9,26,129],"proposed":[10],"for":[11],"solving":[12],"expensive":[13],"black-box":[14],"global":[15,41,52,92,102],"optimization":[16],"problems.":[17],"A":[18,123],"counter":[19],"to":[20,28,32,137],"counts":[21],"the":[22,30,35,40,46,50,55,64,74,90,95,101,105,120,127,139,142],"consecutive":[23],"failed":[24],"iterations":[25],"used":[27],"guide":[29],"enter":[33],"into":[34],"local":[36,47],"search":[37,42,48,103],"phase":[38,43],"or":[39],"accordingly.":[44],"phase,":[49,104],"obtained":[51,91],"minimizer":[53,93],"of":[54,94,126,141],"current":[56,96],"model":[59],"will":[60,78,109],"be":[61,79,110],"taken":[62,80,111],"as":[63],"new":[65,75,106],"iteration":[66,76,107],"point":[67,77,108],"if":[68],"certain":[69],"conditions":[70],"are":[71,135],"satisfied,":[72],"otherwise":[73],"from":[81,112],"some":[82,113],"normally":[83],"distributed":[84,115],"random":[85,116],"trial":[86,117],"points":[87,118],"generated":[88],"around":[89],"model.":[99],"uniformly":[114],"on":[119],"feasible":[121],"region.":[122],"restarting":[124],"version":[125],"also":[130],"discussed.":[131],"Some":[132],"numerical":[133],"examples":[134],"given":[136],"show":[138],"effectiveness":[140],"present":[143],"algorithm.":[144]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}