{"id":"https://openalex.org/W2140777138","doi":"https://doi.org/10.1109/mcdm.2009.4938827","title":"Fleet mix computation using evolutionary multiobjective optimization","display_name":"Fleet mix computation using evolutionary multiobjective optimization","publication_year":2009,"publication_date":"2009-03-01","ids":{"openalex":"https://openalex.org/W2140777138","doi":"https://doi.org/10.1109/mcdm.2009.4938827","mag":"2140777138"},"language":"en","primary_location":{"id":"doi:10.1109/mcdm.2009.4938827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcdm.2009.4938827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making","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/A5015287855","display_name":"Michael D. Mazurek","orcid":"https://orcid.org/0000-0003-3254-1250"},"institutions":[{"id":"https://openalex.org/I2799797123","display_name":"Canadian Armed Forces","ror":"https://ror.org/03rqcfv80","country_code":"CA","type":"funder","lineage":["https://openalex.org/I2799797123","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Michael Mazurek","raw_affiliation_strings":["Canadian Forces Aerospace Warface Centre, Canada","Canadian Forces Aerospace Warfare Centre (CFAWC) in Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Canadian Forces Aerospace Warface Centre, Canada","institution_ids":["https://openalex.org/I2799797123"]},{"raw_affiliation_string":"Canadian Forces Aerospace Warfare Centre (CFAWC) in Ottawa, Canada","institution_ids":["https://openalex.org/I2799797123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111912631","display_name":"Slawomir Wesolkowski","orcid":null},"institutions":[{"id":"https://openalex.org/I1297460800","display_name":"Defence Research and Development Canada","ror":"https://ror.org/00hgy8d33","country_code":"CA","type":"funder","lineage":["https://openalex.org/I1297460800","https://openalex.org/I1336338359","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Slawomir Wesolkowski","raw_affiliation_strings":["DRDC CORA, CFAWC in Ottawa, Canada","DRDC CORA working within CFAWC in Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"DRDC CORA, CFAWC in Ottawa, Canada","institution_ids":[]},{"raw_affiliation_string":"DRDC CORA working within CFAWC in Ottawa, Canada","institution_ids":["https://openalex.org/I1297460800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015287855"],"corresponding_institution_ids":["https://openalex.org/I2799797123"],"apc_list":null,"apc_paid":null,"fwci":2.7422,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.90544021,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9991999864578247,"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":0.9991999864578247,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.984499990940094,"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/sorting","display_name":"Sorting","score":0.7760705947875977},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.7451751232147217},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6634997129440308},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6612793207168579},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.6602596640586853},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6431480646133423},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5804658532142639},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5649068355560303},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5524706244468689},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5361867547035217},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20875677466392517},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.182980477809906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15051785111427307}],"concepts":[{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.7760705947875977},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.7451751232147217},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6634997129440308},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6612793207168579},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.6602596640586853},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6431480646133423},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5804658532142639},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5649068355560303},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5524706244468689},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5361867547035217},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20875677466392517},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.182980477809906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15051785111427307},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mcdm.2009.4938827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcdm.2009.4938827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W642949223","https://openalex.org/W1513946764","https://openalex.org/W1595498733","https://openalex.org/W1985093013","https://openalex.org/W2015970599","https://openalex.org/W2054032246","https://openalex.org/W2124035050","https://openalex.org/W2126105956","https://openalex.org/W2152150600","https://openalex.org/W2183097058","https://openalex.org/W3023540311","https://openalex.org/W4241995690","https://openalex.org/W4292691288","https://openalex.org/W6685954587"],"related_works":["https://openalex.org/W3006936859","https://openalex.org/W1987040457","https://openalex.org/W2378502887","https://openalex.org/W2184492720","https://openalex.org/W1994686097","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W85101999"],"abstract_inverted_index":{"We":[0,61],"apply":[1],"the":[2,14,33,38,73,78,85,93],"non-dominated":[3],"sorting":[4],"genetic":[5,45,79],"algorithm-II":[6],"(NSGA-II)":[7],"to":[8,42,52,90],"perform":[9],"a":[10,22,28],"multiobjective":[11],"optimization":[12],"of":[13,35,59,75],"stochastic":[15],"fleet":[16,30,39],"estimation":[17],"(SaFE)":[18],"model.":[19],"SaFE":[20,63,76],"is":[21,40,48],"Monte":[23],"Carlo-based":[24],"model":[25],"which":[26],"generates":[27],"vehicle":[29],"based":[31],"on":[32,72],"set":[34],"requirements":[36],"that":[37],"supposed":[41],"accomplish.":[43],"A":[44],"algorithm":[46],"framework":[47],"used":[49],"in":[50,92],"order":[51],"alternate":[53],"solutions":[54],"between":[55],"different":[56],"plausible":[57],"sets":[58],"platforms.":[60],"use":[62],"coupled":[64],"with":[65,88],"simple":[66],"monetary":[67],"and":[68,98],"temporal":[69],"cost-based":[70],"evaluations":[71],"output":[74],"as":[77],"algorithm's":[80,86],"fitness":[81],"functions.":[82],"Results":[83],"showing":[84],"performance":[87],"respect":[89],"variations":[91],"input":[94],"parameters":[95],"are":[96],"presented":[97],"discussed.":[99]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}