{"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":false,"raw_author_name":"Rupika Delgoda","raw_affiliation_strings":["Department of Biological Sciences, University of Warwick, Coventry, CV4 7AL UK"],"raw_orcid":null,"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"],"raw_orcid":null,"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":1,"corresponding_author_ids":[],"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":0.11009336,"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":{"pdf":false,"grobid_xml":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":[1,128],"efficiency":[2],"of":[3,20,45,60,136,152,156,200,212,215,239],"the":[4,18,51,58,63,82,95,125,134,137,153,175,205,220,232,236,249,258,267,272],"Monte":[5,85],"Carlo":[6,86],"optimization":[7,97],"algorithm":[8,39,90,222,251,269],"developed":[9],"by":[10,184],"Pulfer":[11],"and":[12,67,79,127,197,227,286],"Waine":[13],"14":[14],"is":[15,91],"due":[16],"to":[17,40,49,73,93,132,168,203,230,252,255,261,280,294],"discovery":[19],"a":[21,31,42,148,209],"novel":[22],"sampler":[23],"that":[24],"combines":[25],"randomized":[26],"guided":[27,84],"step":[28,54],"sizes":[29],"with":[30,121,147,208,235,302],"random":[32],"direction":[33],"search":[34,89],"strategy.":[35],"We":[36],"modified":[37],"this":[38],"use":[41],"preset":[43],"number":[44],"optimally":[46],"sequenced":[47],"steps":[48],"bound":[50],"randomly":[52],"chosen":[53],"length.":[55],"This":[56,290],"has":[57,244],"effect":[59],"both":[61,76],"spanning":[62],"response":[64,259],"surface":[65,260],"rapidly":[66],"escaping":[68],"local":[69,111,284],"optima":[70,112,285],"efficiently.":[71],"Coupled":[72],"changes":[74],"in":[75,143],"sampling":[77,189],"strategy":[78],"termination":[80],"criteria,":[81],"resulting":[83],"(GMC)":[87],"numerical":[88],"shown":[92],"solve":[94,295],"global":[96,206,288],"problem":[98],"effectively.":[99],"Fifteen":[100],"multidimensional":[101],"benchmark":[102],"test":[103,133,257,277],"functions":[104],"having":[105],"differing":[106,122],"characteristics":[107],"such":[108,298],"as":[109,299],"numerous":[110,282],"or":[113],"very":[114,117],"sharp":[115],"optima,":[116,119],"shallow":[118,283],"variables":[120],"influence":[123],"over":[124],"function,":[126,278],"dimensionality,":[129],"were":[130],"used":[131],"efficacy":[135],"GMC":[138,221,250,268],"algorithm.":[139],"It":[140],"was":[141,182],"successful":[142],"solving":[144],"them":[145],"all,":[146],"majority":[149],"converging":[150],"100%":[151,264],"time":[154,202],"out":[155,214],"1000":[157,216],"independent":[158,217],"runs":[159],"within":[160],"highly":[161,176],"competitive":[162],"computer":[163,201],"processing":[164],"times":[165],"when":[166,174],"compared":[167],"contemporary":[169],"efficient":[170],"algorithms.":[171],"For":[172],"example,":[173],"intractable":[177],"five":[178],"dimensional":[179,274],"shekel":[180],"function":[181,194],"solved":[183,271],"Fagiuoli":[185],"et":[186],"al.'s":[187],"20":[188],"algorithm,":[190],"it":[191],"required":[192],"2514":[193],"evaluations":[195],"(f.e.)":[196],"7":[198],"shekels":[199,229],"find":[204],"optimum":[207],"success":[210],"rate":[211],"900":[213],"runs,":[218],"whereas":[219],"needed":[223],"only":[224],"519":[225],"f.e.":[226],"1.66":[228],"achieve":[231,262],"same":[233,237],"accuracy":[234],"probability":[238],"success.":[240],"A":[241],"multirun":[242],"routine":[243],"also":[245],"been":[246],"incorporated":[247],"into":[248],"enable":[253],"users":[254],"repeatedly":[256],"almost":[263],"certainty.":[265],"Also,":[266],"successfully":[270],"100":[273],"cosine":[275],"mixture":[276],"known":[279],"have":[281],"one":[287],"optimum.":[289],"indicates":[291],"its":[292],"potential":[293],"practical":[296],"problems":[297],"those":[300],"associated":[301],"protein":[303],"configuration":[304],"analysis.":[305]},"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":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}