{"id":"https://openalex.org/W2573825055","doi":"https://doi.org/10.1177/0037549716683028","title":"Comparative study of simulated annealing, tabu search, and the genetic algorithm for calibration of the microsimulation model","display_name":"Comparative study of simulated annealing, tabu search, and the genetic algorithm for calibration of the microsimulation model","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2573825055","doi":"https://doi.org/10.1177/0037549716683028","mag":"2573825055"},"language":"en","primary_location":{"id":"doi:10.1177/0037549716683028","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0037549716683028","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIMULATION","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/A5084710073","display_name":"Abhay Lidbe","orcid":"https://orcid.org/0000-0001-7791-129X"},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abhay D Lidbe","raw_affiliation_strings":["Department of Civil Construction & Environmental Engineering, University of Alabama, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Construction & Environmental Engineering, University of Alabama, USA","institution_ids":["https://openalex.org/I17301866"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019747343","display_name":"Alexander M. Hainen","orcid":"https://orcid.org/0000-0003-1138-9739"},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander M Hainen","raw_affiliation_strings":["Department of Civil Construction & Environmental Engineering, University of Alabama, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Construction & Environmental Engineering, University of Alabama, USA","institution_ids":["https://openalex.org/I17301866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049104366","display_name":"Steven Jones","orcid":"https://orcid.org/0000-0002-0617-0604"},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven L Jones","raw_affiliation_strings":["Department of Civil Construction & Environmental Engineering, University of Alabama, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Construction & Environmental Engineering, University of Alabama, USA","institution_ids":["https://openalex.org/I17301866"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084710073"],"corresponding_institution_ids":["https://openalex.org/I17301866"],"apc_list":null,"apc_paid":null,"fwci":6.9229,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.95598305,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"93","issue":"1","first_page":"21","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/microsimulation","display_name":"Microsimulation","score":0.9144603610038757},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.8159138560295105},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7920947670936584},{"id":"https://openalex.org/keywords/tabu-search","display_name":"Tabu search","score":0.6616584062576294},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.66078782081604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6315037608146667},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6122732162475586},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5293092727661133},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5185392498970032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4022318124771118},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34188610315322876},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2577853500843048},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20759332180023193},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18383413553237915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16402950882911682}],"concepts":[{"id":"https://openalex.org/C2780015235","wikidata":"https://www.wikidata.org/wiki/Q1934035","display_name":"Microsimulation","level":2,"score":0.9144603610038757},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.8159138560295105},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7920947670936584},{"id":"https://openalex.org/C123370116","wikidata":"https://www.wikidata.org/wiki/Q1424540","display_name":"Tabu search","level":2,"score":0.6616584062576294},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.66078782081604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6315037608146667},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6122732162475586},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5293092727661133},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5185392498970032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4022318124771118},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34188610315322876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2577853500843048},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20759332180023193},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18383413553237915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16402950882911682},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0037549716683028","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0037549716683028","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIMULATION","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":54,"referenced_works":["https://openalex.org/W68606721","https://openalex.org/W564899112","https://openalex.org/W574949808","https://openalex.org/W583228623","https://openalex.org/W638395671","https://openalex.org/W1607069473","https://openalex.org/W1975702385","https://openalex.org/W1979890228","https://openalex.org/W1996688253","https://openalex.org/W1996877768","https://openalex.org/W2002388487","https://openalex.org/W2003393798","https://openalex.org/W2004080457","https://openalex.org/W2009093356","https://openalex.org/W2015244815","https://openalex.org/W2026850197","https://openalex.org/W2040411888","https://openalex.org/W2042986937","https://openalex.org/W2044316375","https://openalex.org/W2044478148","https://openalex.org/W2072431653","https://openalex.org/W2078659421","https://openalex.org/W2079998407","https://openalex.org/W2084855098","https://openalex.org/W2090217863","https://openalex.org/W2092623846","https://openalex.org/W2098145158","https://openalex.org/W2108396243","https://openalex.org/W2108976496","https://openalex.org/W2116033234","https://openalex.org/W2120305321","https://openalex.org/W2129704227","https://openalex.org/W2141417928","https://openalex.org/W2141620272","https://openalex.org/W2151554678","https://openalex.org/W2152579286","https://openalex.org/W2156302461","https://openalex.org/W2159745432","https://openalex.org/W2159923653","https://openalex.org/W2160427814","https://openalex.org/W2162278784","https://openalex.org/W2165424725","https://openalex.org/W2325184563","https://openalex.org/W2345722004","https://openalex.org/W2470652401","https://openalex.org/W2528924257","https://openalex.org/W2556397045","https://openalex.org/W2573135254","https://openalex.org/W2914906769","https://openalex.org/W3157207671","https://openalex.org/W4237354932","https://openalex.org/W4238452080","https://openalex.org/W4243591740","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W173587566","https://openalex.org/W2900012203","https://openalex.org/W2084470113","https://openalex.org/W2019085397","https://openalex.org/W2509914111","https://openalex.org/W2148102208","https://openalex.org/W2388574609","https://openalex.org/W2026922968","https://openalex.org/W2563889536","https://openalex.org/W2971736757"],"abstract_inverted_index":{"Microsimulation":[0,39],"modeling":[1],"is":[2,95,123,131,139,144,183,204,310,356],"one":[3,108],"of":[4,42,50,68,74,80,106,129,180,189,191,201,223,238,267,296,327,353],"the":[5,31,59,70,86,127,135,147,150,157,175,178,187,192,199,209,230,236,249,265,269,282,290,299,305,315,351,363],"contemporary":[6],"techniques":[7],"that":[8,248],"has":[9,161,169],"potential":[10],"to":[11,25,35,97,111,205,232,284,304,341,358],"perform":[12],"complex":[13,361],"transportation":[14],"studies":[15],"faster,":[16],"safer,":[17],"and":[18,28,54,77,122,165,207,211,216,234,279,302,317,344],"in":[19,101,146,174,335,362],"a":[20,102,119,239],"less":[21],"expensive":[22],"manner.":[23],"However,":[24,133],"get":[26,99],"accurate":[27],"reliable":[29],"results,":[30,349],"microsimulation":[32,155,193,224,243,328,354],"models":[33,259,329,355],"need":[34,231],"be":[36,253,322,339],"well":[37],"calibrated.":[38],"model":[40,194],"consists":[41],"various":[43],"sub-models":[44],"each":[45,75,83],"having":[46],"many":[47],"parameters,":[48],"most":[49],"which":[51,181],"are":[52,55,89],"user-adjustable":[53],"attuned":[56],"for":[57,153,186,221,241,256],"calibrating":[58,154,242,257,271,287],"model.":[60],"Manual":[61],"calibration":[62,118,136,190,222,326,352],"involves":[63],"an":[64,141],"iterative":[65],"trial-and-error":[66],"process":[67,105,121,143],"using":[69,330],"intuitive":[71],"discrete":[72],"values":[73],"parameter":[76,137],"feasible":[78],"combinations":[79],"multiple":[81],"parameters":[82,130,288],"time":[84,320],"until":[85],"desired":[87],"results":[88,246],"obtained.":[90],"With":[91],"this":[92,202,336],"approach,":[93],"it":[94,263],"possible":[96],"easily":[98],"caught":[100],"never-ending":[103],"circular":[104],"fixing":[107],"problem":[109,188],"only":[110,125,172],"generate":[112],"another.":[113],"This":[114,226],"can":[115,252,321,338],"make":[116],"manual":[117,210],"time-consuming":[120],"suggested":[124,145],"when":[126,134],"number":[128,295],"small.":[132],"subset":[138],"large,":[140],"automated":[142],"literature.":[148],"Amongst":[149],"meta-heuristics":[151,182,220,240,250,275],"used":[152,164,171,340],"models,":[156],"genetic":[158],"algorithm":[159],"(GA)":[160],"been":[162,170],"widely":[163],"simulated":[166],"annealing":[167],"(SA)":[168],"once":[173],"past.":[176],"Thus,":[177,198],"question":[179],"more":[184,360],"suitable":[185],"still":[195],"remains":[196],"open.":[197],"objective":[200],"paper":[203,227],"evaluate":[206],"compare":[208],"three":[212,274],"(the":[213,276],"GA,":[214,277],"SA,":[215,278],"tabu":[217],"search":[218],"(TS))":[219],"models.":[225,244],"therefore":[228],"addresses":[229],"examine":[233],"identify":[235],"suitability":[237],"The":[245,294,332],"show":[247],"approach":[251,333],"relied":[254],"upon":[255],"simulation":[258],"very":[260],"effectively,":[261],"as":[262,350],"offers":[264],"benefit":[266],"automating":[268,325],"cumbersome":[270],"process.":[272],"All":[273],"TS)":[280],"have":[281],"ability":[283],"find":[285],"better":[286,297,311,347],"than":[289,312],"manually":[291],"calibrated":[292],"parameters.":[293],"solutions,":[298],"best":[300,306],"solution,":[301],"convergence":[303],"solution":[307],"by":[308,314,324],"TS":[309],"those":[313],"GA":[316],"SA.":[318],"Significant":[319],"saved":[323],"meta-heuristics.":[331],"presented":[334],"research":[337],"help":[342],"engineers":[343],"planners":[345],"achieve":[346],"modeled":[348],"likely":[357],"become":[359],"future.":[364]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
