{"id":"https://openalex.org/W2052822043","doi":"https://doi.org/10.1109/cec.2014.6900566","title":"TraDE: Training device selection via multi-objective optimization","display_name":"TraDE: Training device selection via multi-objective optimization","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2052822043","doi":"https://doi.org/10.1109/cec.2014.6900566","mag":"2052822043"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on 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/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":true,"raw_author_name":"Slawomir Wesolkowski","raw_affiliation_strings":["Defence Research and Development Canada, Ottawa, Canada","Defence Research and Development Canada/Ottawa (Canada)"],"affiliations":[{"raw_affiliation_string":"Defence Research and Development Canada, Ottawa, Canada","institution_ids":["https://openalex.org/I1297460800"]},{"raw_affiliation_string":"Defence Research and Development Canada/Ottawa (Canada)","institution_ids":["https://openalex.org/I1297460800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018425651","display_name":"Nevena Franceti\u0107","orcid":"https://orcid.org/0000-0002-1603-2635"},"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":"Nevena Francetic","raw_affiliation_strings":["Defence Research and Development Canada, Ottawa, Canada","Defence Research and Development Canada/Ottawa (Canada)"],"affiliations":[{"raw_affiliation_string":"Defence Research and Development Canada, Ottawa, Canada","institution_ids":["https://openalex.org/I1297460800"]},{"raw_affiliation_string":"Defence Research and Development Canada/Ottawa (Canada)","institution_ids":["https://openalex.org/I1297460800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090913029","display_name":"Stuart C. Grant","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":"Stuart C. Grant","raw_affiliation_strings":["Defence Research and Development Canada, Ottawa, Canada","Defence Research and Development Canada/Ottawa (Canada)"],"affiliations":[{"raw_affiliation_string":"Defence Research and Development Canada, Ottawa, Canada","institution_ids":["https://openalex.org/I1297460800"]},{"raw_affiliation_string":"Defence Research and Development Canada/Ottawa (Canada)","institution_ids":["https://openalex.org/I1297460800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111912631"],"corresponding_institution_ids":["https://openalex.org/I1297460800"],"apc_list":null,"apc_paid":null,"fwci":0.409,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74117506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2617","last_page":"2624"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9983000159263611,"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/T12288","display_name":"Optimization and Search Problems","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.705926775932312},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.6260133981704712},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6142030358314514},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.609886109828949},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5915836095809937},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.48411262035369873},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48317471146583557},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.47505685687065125},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4408305585384369},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4401456415653229},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.422615647315979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3038637042045593},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2599894404411316},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18682938814163208},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10592043399810791}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.705926775932312},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.6260133981704712},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6142030358314514},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.609886109828949},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5915836095809937},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.48411262035369873},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48317471146583557},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.47505685687065125},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4408305585384369},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4401456415653229},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.422615647315979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3038637042045593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2599894404411316},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18682938814163208},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10592043399810791},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2014.6900566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.6000000238418579,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W146678604","https://openalex.org/W1513946764","https://openalex.org/W1595498733","https://openalex.org/W1963539753","https://openalex.org/W1988321576","https://openalex.org/W1996547276","https://openalex.org/W2067348293","https://openalex.org/W2075482677","https://openalex.org/W2093818238","https://openalex.org/W2121400278","https://openalex.org/W2140777138","https://openalex.org/W2142867274","https://openalex.org/W2198098822","https://openalex.org/W3155074683","https://openalex.org/W4285719527","https://openalex.org/W4401257119","https://openalex.org/W6605857990","https://openalex.org/W6630687308","https://openalex.org/W6794088270"],"related_works":["https://openalex.org/W2739612537","https://openalex.org/W2349174696","https://openalex.org/W2360241746","https://openalex.org/W4313041667","https://openalex.org/W2767599893","https://openalex.org/W3006936859","https://openalex.org/W1987040457","https://openalex.org/W2378502887","https://openalex.org/W2184492720","https://openalex.org/W2543854215"],"abstract_inverted_index":{"Training":[0,67],"planning":[1],"is":[2,27,38],"a":[3,28,55,63,110,120,130],"recurring":[4],"military":[5],"problem.":[6,31],"Since":[7],"training":[8,13,19,56,94],"programs":[9],"can":[10],"utilize":[11],"multiple":[12],"devices":[14,25,37],"with":[15,85],"varying":[16],"costs":[17,45,92],"and":[18,44,50,93,137],"capabilities,":[20],"selecting":[21],"the":[22,33,42,52,73,80,98,106,126,144,152],"types":[23],"of":[24,35,54,75,82],"required":[26],"complex":[29],"trade-off":[30],"Furthermore,":[32],"placement":[34],"these":[36],"critical":[39],"due":[40],"to":[41,49,71,87,105,124,151],"time":[43],"involved":[46],"in":[47,129],"travelling":[48],"from":[51],"location":[53,81,138],"device.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,117],"introduce":[62],"device":[64,77,84],"bin-packing-and-location-based":[65],"model,":[66],"Device":[68],"Estimation":[69],"(TraDE),":[70],"study":[72],"computation":[74],"heterogeneous":[76],"mixes":[78],"including":[79,90],"each":[83],"respect":[86],"numerous":[88],"objectives":[89],"various":[91],"time.":[95],"We":[96,140],"apply":[97],"multi-objective":[99],"Non-dominating":[100],"Sorting":[101],"Genetic":[102],"Algorithm":[103],"II":[104],"TraDE":[107],"model":[108],"on":[109],"population":[111],"represented":[112],"by":[113],"two-dimensional":[114],"chromosomes.":[115],"Finally,":[116],"also":[118],"present":[119],"new":[121,145],"mutation":[122,146,154],"type":[123],"handle":[125],"nonlinearity":[127],"inherent":[128],"dual":[131],"optimization":[132],"problem":[133],"which":[134],"includes":[135],"scheduling":[136],"optimization.":[139],"clearly":[141],"show":[142],"that":[143],"operator":[147],"produces":[148],"superior":[149],"results":[150],"standard":[153],"operator.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}