{"id":"https://openalex.org/W2133925304","doi":"https://doi.org/10.1109/cec.2011.5949653","title":"Iteration-wise parameter learning","display_name":"Iteration-wise parameter learning","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2133925304","doi":"https://doi.org/10.1109/cec.2011.5949653","mag":"2133925304"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2011.5949653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of Evolutionary Computation (CEC)","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/A5011853573","display_name":"Felix Dobslaw","orcid":"https://orcid.org/0000-0001-9372-3416"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Felix Dobslaw","raw_affiliation_strings":["Department of Information, Media and Technology, Mid Sweden University, Ostersund, Sweden","Department of Information, Media and Technology, Mid Sweden University, \u00d6stersund, Sweden 83146"],"affiliations":[{"raw_affiliation_string":"Department of Information, Media and Technology, Mid Sweden University, Ostersund, Sweden","institution_ids":["https://openalex.org/I56475706"]},{"raw_affiliation_string":"Department of Information, Media and Technology, Mid Sweden University, \u00d6stersund, Sweden 83146","institution_ids":["https://openalex.org/I56475706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5011853573"],"corresponding_institution_ids":["https://openalex.org/I56475706"],"apc_list":null,"apc_paid":null,"fwci":0.8551,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80514445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"455","last_page":"462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9983999729156494,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9979000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6171075105667114},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5593605637550354},{"id":"https://openalex.org/keywords/tuner","display_name":"Tuner","score":0.5253036618232727},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5224927067756653},{"id":"https://openalex.org/keywords/travelling-salesman-problem","display_name":"Travelling salesman problem","score":0.5219264030456543},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.517038881778717},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5163096785545349},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4400934875011444},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.432218074798584},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4197543263435364},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.41448819637298584},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39960503578186035},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31042832136154175},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2478967308998108},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07768857479095459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6171075105667114},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5593605637550354},{"id":"https://openalex.org/C9819579","wikidata":"https://www.wikidata.org/wiki/Q1544018","display_name":"Tuner","level":3,"score":0.5253036618232727},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5224927067756653},{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.5219264030456543},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.517038881778717},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5163096785545349},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4400934875011444},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.432218074798584},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4197543263435364},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.41448819637298584},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39960503578186035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31042832136154175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2478967308998108},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07768857479095459},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic 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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2011.5949653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of Evolutionary Computation (CEC)","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":19,"referenced_works":["https://openalex.org/W1525900372","https://openalex.org/W1978087130","https://openalex.org/W2012087857","https://openalex.org/W2031585418","https://openalex.org/W2058500804","https://openalex.org/W2063180182","https://openalex.org/W2117643431","https://openalex.org/W2133002845","https://openalex.org/W2141363466","https://openalex.org/W2144191429","https://openalex.org/W2146879413","https://openalex.org/W2151554678","https://openalex.org/W2183174613","https://openalex.org/W2767274307","https://openalex.org/W2950680102","https://openalex.org/W3023540311","https://openalex.org/W6679891650","https://openalex.org/W6745815690","https://openalex.org/W7045518431"],"related_works":["https://openalex.org/W2154107929","https://openalex.org/W4290057712","https://openalex.org/W2168846948","https://openalex.org/W2559413996","https://openalex.org/W2559844932","https://openalex.org/W2185884583","https://openalex.org/W2096827166","https://openalex.org/W2108953480","https://openalex.org/W2185228534","https://openalex.org/W2107631366"],"abstract_inverted_index":{"Adjusting":[0],"the":[1,12,36,41,65,103,106],"control":[2],"parameters":[3,34],"of":[4,14,44,59,67,74,87,105],"population-based":[5,55],"algorithms":[6],"is":[7],"a":[8,45,68,72,88,130],"means":[9],"for":[10,54,114],"improving":[11],"quality":[13],"these":[15],"algorithms'":[16],"result":[17],"when":[18,27],"solving":[19],"optimization":[20],"problems.":[21],"The":[22,57,79],"difficulty":[23],"lies":[24],"in":[25,64],"determining":[26],"to":[28,32,71,93,108,122,126],"assign":[29],"individual":[30],"values":[31],"specific":[33],"during":[35],"run.":[37],"This":[38],"paper":[39],"investigates":[40],"possible":[42],"implications":[43],"generic":[46],"and":[47,138],"computationally":[48],"cheap":[49],"approach":[50],"towards":[51],"parameter":[52,60,109,117,132],"analysis":[53],"algorithms.":[56],"effect":[58],"settings":[61,118,124],"was":[62],"analyzed":[63],"application":[66],"genetic":[69],"algorithm":[70,107],"set":[73],"traveling":[75],"salesman":[76],"problem":[77],"instances.":[78],"findings":[80],"suggest":[81],"that":[82],"statistics":[83],"about":[84],"local":[85],"changes":[86],"search":[89],"from":[90,129],"iteration":[91,94],"i":[92,95],"+":[96],"1":[97],"can":[98],"provide":[99],"valuable":[100],"insight":[101],"into":[102],"sensitivity":[104],"values.":[110],"A":[111],"simple":[112],"method":[113],"choosing":[115],"static":[116],"has":[119],"been":[120],"shown":[121],"recommend":[123],"competitive":[125],"those":[127],"extracted":[128],"state-of-the-art":[131],"tuner,":[133],"paramlLS,":[134],"with":[135],"major":[136],"time":[137],"setup":[139],"advantages.":[140]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}