{"id":"https://openalex.org/W4206956067","doi":"https://doi.org/10.1109/ssci50451.2021.9660095","title":"Accelerated Random Search for Black-Box Constraint Satisfaction and Optimization","display_name":"Accelerated Random Search for Black-Box Constraint Satisfaction and Optimization","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4206956067","doi":"https://doi.org/10.1109/ssci50451.2021.9660095"},"language":"en","primary_location":{"id":"doi:10.1109/ssci50451.2021.9660095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660095","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5052101398","display_name":"Jenna N. Iorio","orcid":null},"institutions":[{"id":"https://openalex.org/I51077184","display_name":"Saint Joseph's University","ror":"https://ror.org/05q87sg56","country_code":"US","type":"education","lineage":["https://openalex.org/I51077184"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jenna N. Iorio","raw_affiliation_strings":["Saint Joseph&#x0027;s University,Department of Mathematics,Philadelphia,PA,USA,19131"],"affiliations":[{"raw_affiliation_string":"Saint Joseph&#x0027;s University,Department of Mathematics,Philadelphia,PA,USA,19131","institution_ids":["https://openalex.org/I51077184"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051045082","display_name":"Rommel G. Regis","orcid":"https://orcid.org/0000-0002-3468-5146"},"institutions":[{"id":"https://openalex.org/I51077184","display_name":"Saint Joseph's University","ror":"https://ror.org/05q87sg56","country_code":"US","type":"education","lineage":["https://openalex.org/I51077184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rommel G. Regis","raw_affiliation_strings":["Saint Joseph&#x0027;s University,Department of Mathematics,Philadelphia,PA,USA,19131"],"affiliations":[{"raw_affiliation_string":"Saint Joseph&#x0027;s University,Department of Mathematics,Philadelphia,PA,USA,19131","institution_ids":["https://openalex.org/I51077184"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052101398"],"corresponding_institution_ids":["https://openalex.org/I51077184"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25376593,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9993000030517578,"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":0.9993000030517578,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9976999759674072,"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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/benchmark","display_name":"Benchmark (surveying)","score":0.7426259517669678},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.7262149453163147},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6939305067062378},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5549992918968201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5179187655448914},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.45115602016448975},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4494922161102295},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44875866174697876},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42294031381607056},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.4172621965408325},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3759431838989258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19235041737556458},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09574499726295471}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7426259517669678},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.7262149453163147},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6939305067062378},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5549992918968201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5179187655448914},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.45115602016448975},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4494922161102295},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44875866174697876},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42294031381607056},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.4172621965408325},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3759431838989258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19235041737556458},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09574499726295471},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci50451.2021.9660095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660095","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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":25,"referenced_works":["https://openalex.org/W1451881698","https://openalex.org/W1510052597","https://openalex.org/W1596914020","https://openalex.org/W2013656284","https://openalex.org/W2021940557","https://openalex.org/W2036151663","https://openalex.org/W2110368321","https://openalex.org/W2162145193","https://openalex.org/W2164655924","https://openalex.org/W2288517616","https://openalex.org/W2338548332","https://openalex.org/W2348980703","https://openalex.org/W2478899349","https://openalex.org/W2588277129","https://openalex.org/W2743733467","https://openalex.org/W2789948796","https://openalex.org/W2953071824","https://openalex.org/W2953456925","https://openalex.org/W4232244061","https://openalex.org/W4388249735","https://openalex.org/W4399525163","https://openalex.org/W4399570739","https://openalex.org/W4399585987","https://openalex.org/W4399590035","https://openalex.org/W6858068732"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4385437088","https://openalex.org/W2411382095"],"abstract_inverted_index":{"The":[0,129,159],"Constrained":[1,191],"Accelerated":[2],"Random":[3,193],"Search":[4,194],"(CARS)":[5],"algorithm":[6,75],"is":[7,126,157,209],"a":[8,22,37,105,122,135,142,169],"stochastic":[9],"search":[10,148],"method":[11,229],"that":[12,76],"converges":[13],"with":[14,174,234],"probability":[15],"1":[16],"to":[17,95,115,140,186],"the":[18,41,47,55,72,88,150,154,181,197,204,225],"global":[19,151],"minimum":[20,152],"of":[21,49,90,137,180],"constrained":[23,117,235],"black-box":[24,118,176],"optimization":[25,119,172],"problem":[26,173],"under":[27],"certain":[28],"conditions.":[29],"CARS":[30,91,112,189],"randomly":[31],"selects":[32],"its":[33],"sample":[34],"point":[35,56,125],"from":[36],"box":[38,51],"centered":[39],"at":[40],"current":[42],"best":[43],"solution":[44,144],"and":[45,92,113,145,167,196,199,207,224,230],"adjusts":[46],"size":[48],"this":[50],"depending":[52],"on":[53,97,163,168,203],"whether":[54],"yields":[57],"an":[58,211],"improvement":[59,212],"in":[60],"constraint":[61,138],"violation":[62,139],"or":[63],"feasible":[64,106,123,143],"objective":[65],"function":[66],"value.":[67],"For":[68],"computationally":[69],"expensive":[70],"problems,":[71,206],"CARS-":[73],"RBF":[74,221],"uses":[77],"Radial":[78],"Basis":[79],"Function":[80],"(RBF)":[81],"surrogates":[82],"was":[83],"proposed.":[84],"Numerical":[85],"experiments":[86],"showed":[87],"effectiveness":[89],"CARS-RBF":[93,114,208,216],"compared":[94,232],"alternatives":[96],"many":[98],"test":[99,205],"problems.":[100],"However,":[101],"both":[102],"algorithms":[103,131,160,202],"require":[104],"starting":[107,124],"point.":[108],"This":[109],"paper":[110],"extends":[111],"handle":[116],"problems":[120,166],"when":[121],"not":[127],"available.":[128],"extended":[130],"begin":[132],"by":[133],"minimizing":[134],"measure":[136],"find":[141],"then":[146],"they":[147],"for":[149],"until":[153],"computational":[155],"budget":[156],"reached.":[158],"were":[161],"tested":[162],"19":[164],"benchmark":[165],"12-D":[170],"engineering":[171],"68":[175],"constraints":[177],"where":[178],"none":[179],"initial":[182],"points":[183],"are":[184],"guaranteed":[185],"be":[187],"feasible.":[188],"outperformed":[190,217],"Pure":[192],"(CPRS)":[195],"ISRES":[198],"jDE":[200],"evolutionary":[201],"generally":[210],"over":[213],"CARS.":[214],"Furthermore,":[215],"other":[218],"methods":[219],"including":[220],"-assisted":[222],"CPRS":[223],"COBYLA":[226],"trust":[227],"region":[228],"it":[231],"favorably":[233],"EGO.":[236]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
