{"id":"https://openalex.org/W1972948234","doi":"https://doi.org/10.1021/ci9701042","title":"A Guided Monte Carlo Search Algorithm for Global Optimization of Multidimensional Functions","display_name":"A Guided Monte Carlo Search Algorithm for Global Optimization of Multidimensional Functions","publication_year":1998,"publication_date":"1998-11-04","ids":{"openalex":"https://openalex.org/W1972948234","doi":"https://doi.org/10.1021/ci9701042","mag":"1972948234"},"language":"en","primary_location":{"id":"doi:10.1021/ci9701042","is_oa":false,"landing_page_url":"https://doi.org/10.1021/ci9701042","pdf_url":null,"source":{"id":"https://openalex.org/S171559003","display_name":"Journal of Chemical Information and Computer Sciences","issn_l":"0095-2338","issn":["0095-2338","1520-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Computer Sciences","raw_type":"journal-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/A5052636162","display_name":"Rupika Delgoda","orcid":"https://orcid.org/0000-0002-6100-481X"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Rupika Delgoda","raw_affiliation_strings":["Department of Biological Sciences, University of Warwick, Coventry, CV4 7AL UK"],"affiliations":[{"raw_affiliation_string":"Department of Biological Sciences, University of Warwick, Coventry, CV4 7AL UK","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060334063","display_name":"James Douglas Pulfer","orcid":null},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"James Douglas Pulfer","raw_affiliation_strings":["Department of Biological Sciences, University of Warwick, Coventry, CV4 7AL UK"],"affiliations":[{"raw_affiliation_string":"Department of Biological Sciences, University of Warwick, Coventry, CV4 7AL UK","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052636162"],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.10421449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"38","issue":"6","first_page":"1087","last_page":"1095"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9984999895095825,"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":0.9984999895095825,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9936000108718872,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9909999966621399,"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/monte-carlo-method","display_name":"Monte Carlo method","score":0.7070002555847168},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.6966937780380249},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6193550229072571},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6105260252952576},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6075121760368347},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5585501790046692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48352766036987305},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4538983702659607},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.4199645519256592},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4179529547691345},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3915765583515167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12555357813835144},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12001362442970276}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.7070002555847168},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.6966937780380249},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6193550229072571},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6105260252952576},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6075121760368347},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5585501790046692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48352766036987305},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4538983702659607},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.4199645519256592},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4179529547691345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3915765583515167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12555357813835144},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12001362442970276},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1021/ci9701042","is_oa":false,"landing_page_url":"https://doi.org/10.1021/ci9701042","pdf_url":null,"source":{"id":"https://openalex.org/S171559003","display_name":"Journal of Chemical Information and Computer Sciences","issn_l":"0095-2338","issn":["0095-2338","1520-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1997066685","https://openalex.org/W2002012063","https://openalex.org/W2005097199","https://openalex.org/W2007405464","https://openalex.org/W2024060531","https://openalex.org/W2027091122","https://openalex.org/W2039865471","https://openalex.org/W2059687243","https://openalex.org/W2067056265","https://openalex.org/W2094093295","https://openalex.org/W2317988884","https://openalex.org/W4255349969"],"related_works":["https://openalex.org/W2123829500","https://openalex.org/W2305572622","https://openalex.org/W4283765137","https://openalex.org/W4317496694","https://openalex.org/W3174749984","https://openalex.org/W3208659968","https://openalex.org/W4286891850","https://openalex.org/W2887485518","https://openalex.org/W1655912143","https://openalex.org/W2560221187"],"abstract_inverted_index":{"The":[0],"high":[1,127],"efficiency":[2],"of":[3,19,44,59,135,151,155,198,210,213,237],"the":[4,17,50,57,62,81,94,124,133,136,152,174,203,218,230,234,247,256,265,270],"Monte":[5,84],"Carlo":[6,85],"optimization":[7,96],"algorithm":[8,38,89,220,249,267],"developed":[9],"by":[10,183],"Pulfer":[11],"and":[12,66,78,126,195,225,284],"Waine14":[13],"is":[14,90],"due":[15],"to":[16,39,48,72,92,131,167,201,228,250,253,259,278,292],"discovery":[18],"a":[20,30,41,147,207],"novel":[21],"sampler":[22],"that":[23],"combines":[24],"randomized":[25],"guided":[26,83],"step":[27,53],"sizes":[28],"with":[29,120,146,206,233,300],"random":[31],"direction":[32],"search":[33,88],"strategy.":[34],"We":[35],"modified":[36],"this":[37],"use":[40],"preset":[42],"number":[43],"optimally":[45],"sequenced":[46],"steps":[47],"bound":[49],"randomly":[51],"chosen":[52],"length.":[54],"This":[55,288],"has":[56,242],"effect":[58],"both":[60,75],"spanning":[61],"response":[63,257],"surface":[64,258],"rapidly":[65],"escaping":[67],"local":[68,110,282],"optima":[69,111,283],"efficiently.":[70],"Coupled":[71],"changes":[73],"in":[74,142],"sampling":[76,187],"strategy":[77],"termination":[79],"criteria,":[80],"resulting":[82],"(GMC)":[86],"numerical":[87],"shown":[91],"solve":[93,293],"global":[95,204,286],"problem":[97],"effectively.":[98],"Fifteen":[99],"multidimensional":[100],"benchmark":[101],"test":[102,132,255,275],"functions":[103],"having":[104],"differing":[105,121],"characteristics":[106],"such":[107,296],"as":[108,297],"numerous":[109,280],"or":[112],"very":[113,116],"sharp":[114],"optima,":[115,118],"shallow":[117,281],"variables":[119],"influence":[122],"over":[123],"function,":[125,276],"dimensionality,":[128],"were":[129],"used":[130],"efficacy":[134],"GMC":[137,219,248,266],"algorithm.":[138],"It":[139],"was":[140,181],"successful":[141],"solving":[143],"them":[144],"all,":[145],"majority":[148],"converging":[149],"100%":[150,262],"time":[153,200],"out":[154,212],"1000":[156,214],"independent":[157,215],"runs":[158],"within":[159],"highly":[160,175],"competitive":[161],"computer":[162,199],"processing":[163],"times":[164],"when":[165,173],"compared":[166],"contemporary":[168],"efficient":[169],"algorithms.":[170],"For":[171],"example,":[172],"intractable":[176],"five":[177],"dimensional":[178,272],"shekel":[179],"function":[180,192],"solved":[182,269],"Fagiuoli":[184],"et":[185],"al.'s20":[186],"algorithm,":[188],"it":[189],"required":[190],"2514":[191],"evaluations":[193],"(f.e.)":[194],"7":[196],"shekels":[197,227],"find":[202],"optimum":[205],"success":[208],"rate":[209],"900":[211],"runs,":[216],"whereas":[217],"needed":[221],"only":[222],"519":[223],"f.e.":[224],"1.66":[226],"achieve":[229,260],"same":[231,235],"accuracy":[232],"probability":[236],"success.":[238],"A":[239],"multirun":[240],"routine":[241],"also":[243],"been":[244],"incorporated":[245],"into":[246],"enable":[251],"users":[252],"repeatedly":[254],"almost":[261],"certainty.":[263],"Also,":[264],"successfully":[268],"100":[271],"cosine":[273],"mixture":[274],"known":[277],"have":[279],"one":[285],"optimum.":[287],"indicates":[289],"its":[290],"potential":[291],"practical":[294],"problems":[295],"those":[298],"associated":[299],"protein":[301],"configuration":[302],"analysis.":[303]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}