{"id":"https://openalex.org/W1897505530","doi":"https://doi.org/10.1109/cig.2015.7317933","title":"How costly is a good compromise: Multi-objective TORCS controller parameter optimization","display_name":"How costly is a good compromise: Multi-objective TORCS controller parameter optimization","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1897505530","doi":"https://doi.org/10.1109/cig.2015.7317933","mag":"1897505530"},"language":"en","primary_location":{"id":"doi:10.1109/cig.2015.7317933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2015.7317933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computational Intelligence and Games (CIG)","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/A5031102535","display_name":"Jan Quadflieg","orcid":null},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jan Quadflieg","raw_affiliation_strings":["Computational Intelligence Group, Technische Uaiversit\u00e4t, Dortmund","Computational Intelligence Group, Technische Universit\u00e4t Dortmund"],"affiliations":[{"raw_affiliation_string":"Computational Intelligence Group, Technische Uaiversit\u00e4t, Dortmund","institution_ids":["https://openalex.org/I200332995"]},{"raw_affiliation_string":"Computational Intelligence Group, Technische Universit\u00e4t Dortmund","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062851293","display_name":"G\u00fcnter Rudolph","orcid":"https://orcid.org/0000-0003-4223-5257"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gunter Rudolph","raw_affiliation_strings":["Computational Intelligence Group, Technische Uaiversit\u00e4t, Dortmund","Computational Intelligence Group, Technische Universit\u00e4t Dortmund"],"affiliations":[{"raw_affiliation_string":"Computational Intelligence Group, Technische Uaiversit\u00e4t, Dortmund","institution_ids":["https://openalex.org/I200332995"]},{"raw_affiliation_string":"Computational Intelligence Group, Technische Universit\u00e4t Dortmund","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062774048","display_name":"Mike Preu\u00df","orcid":"https://orcid.org/0000-0003-4681-1346"},"institutions":[{"id":"https://openalex.org/I4210122827","display_name":"Wehrwissenschaftliche Institut f\u00fcr Schutztechnologien","ror":"https://ror.org/02gfar685","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210122827","https://openalex.org/I4387152969"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mike Preuss","raw_affiliation_strings":["Information Systems and Statistics, WWU, M\u00fcnster, Germany","Information Systems and Statistics ERCIS, WWU M\u00fcnster, Germany"],"affiliations":[{"raw_affiliation_string":"Information Systems and Statistics, WWU, M\u00fcnster, Germany","institution_ids":["https://openalex.org/I4210122827"]},{"raw_affiliation_string":"Information Systems and Statistics ERCIS, WWU M\u00fcnster, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031102535"],"corresponding_institution_ids":["https://openalex.org/I200332995"],"apc_list":null,"apc_paid":null,"fwci":0.3505,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62785027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"454","last_page":"460"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.993399977684021,"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":0.993399977684021,"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/T10998","display_name":"Heat Transfer and Optimization","score":0.9628000259399414,"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"}},{"id":"https://openalex.org/T12810","display_name":"Real-time simulation and control systems","score":0.9560999870300293,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.6798897981643677},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6423816680908203},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6348024606704712},{"id":"https://openalex.org/keywords/championship","display_name":"Championship","score":0.5087488293647766},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4969687759876251},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.43158817291259766},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35190486907958984},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.22033146023750305},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1970931589603424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1939665675163269},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.140106201171875},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.06740543246269226}],"concepts":[{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.6798897981643677},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6423816680908203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6348024606704712},{"id":"https://openalex.org/C2779501167","wikidata":"https://www.wikidata.org/wiki/Q1079023","display_name":"Championship","level":2,"score":0.5087488293647766},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4969687759876251},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.43158817291259766},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35190486907958984},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.22033146023750305},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1970931589603424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1939665675163269},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.140106201171875},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.06740543246269226},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cig.2015.7317933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2015.7317933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computational Intelligence and Games (CIG)","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":11,"referenced_works":["https://openalex.org/W1503296932","https://openalex.org/W1574474448","https://openalex.org/W2038420231","https://openalex.org/W2058437545","https://openalex.org/W2078392950","https://openalex.org/W2149553697","https://openalex.org/W2170724701","https://openalex.org/W2170800974","https://openalex.org/W2727840223","https://openalex.org/W6634423325","https://openalex.org/W6664915529"],"related_works":["https://openalex.org/W4378175356","https://openalex.org/W2008235691","https://openalex.org/W594065951","https://openalex.org/W3027125731","https://openalex.org/W2143512785","https://openalex.org/W651260941","https://openalex.org/W4229372819","https://openalex.org/W1963567817","https://openalex.org/W2386165573","https://openalex.org/W2603496327"],"abstract_inverted_index":{"We":[0,92],"extend":[1],"existing":[2],"work":[3],"on":[4,41,124],"the":[5,28,32,36,57,61,79,86,101,104,107,111,117,133,137,173,198],"offline":[6],"parameter":[7,33,98,147,165,184],"optimization":[8],"for":[9,35,88,100,110],"The":[10,176],"Open":[11],"Racing":[12,140],"Car":[13,139],"Simulator":[14],"(TORCS)":[15],"controllers":[16],"and":[17],"take":[18],"it":[19,129,169],"to":[20,78,96,119,188,197],"a":[21,48,114,155],"truly":[22],"multi-objective":[23],"level.":[24],"By":[25],"means":[26,84],"of":[27,50,85,106,136,194,201],"(100+1)-SMS-EMOA,":[29],"we":[30],"optimize":[31],"set":[34,148],"controller":[37,102,115,156],"named":[38],"`Mr.":[39],"Racer'":[40],"three":[42,183],"significantly":[43],"different":[44,164],"tracks":[45],"simultaneously,":[46],"with":[47],"budget":[49],"3":[51],"\u00d7":[52],"6000":[53],"function":[54],"evaluations.":[55],"In":[56],"ten":[58],"runs":[59],"performed,":[60],"SMS-EMOA":[62],"reliably":[63],"finds":[64],"good":[65],"compromise":[66],"solutions,":[67],"as":[68,70,128,157],"well":[69],"selfish":[71],"optima":[72],"that":[73,113,145],"are":[74],"comparable":[75],"in":[76,132,172,191],"quality":[77],"ones":[80],"previously":[81],"obtained":[82],"by":[83,181],"CMA-ES":[87],"each":[89],"particular":[90],"track.":[91],"further":[93,120],"analyze":[94],"how":[95],"select":[97],"set(s)":[99],"from":[103,167],"results":[105,143],"evolutionary":[108],"optimization,":[109],"case":[112],"has":[116],"chance":[118],"finetune":[121],"its":[122],"behavior":[123],"an":[125,189],"unknown":[126],"track,":[127],"is":[130,149,179],"done":[131],"warinup":[134,174],"phase":[135],"Simulated":[138],"Championship.":[141],"Experimental":[142],"show":[144],"one":[146],"not":[150],"sufficient.":[151],"To":[152],"perform":[153],"well,":[154],"Mr.":[158,202],"Racer":[159],"needs":[160],"at":[161],"least":[162],"two":[163],"sets":[166],"which":[168,186],"can":[170],"choose":[171],"stage.":[175],"best":[177],"performance":[178],"gained":[180],"using":[182],"sets,":[185],"leads":[187],"increase":[190],"championship":[192],"points":[193],"17%":[195],"compared":[196],"2013":[199],"version":[200],"Racer.":[203]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
