{"id":"https://openalex.org/W4205636092","doi":"https://doi.org/10.1109/idaacs53288.2021.9660946","title":"A Personnel Rating Optimization Algorithm","display_name":"A Personnel Rating Optimization Algorithm","publication_year":2021,"publication_date":"2021-09-22","ids":{"openalex":"https://openalex.org/W4205636092","doi":"https://doi.org/10.1109/idaacs53288.2021.9660946"},"language":"en","primary_location":{"id":"doi:10.1109/idaacs53288.2021.9660946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idaacs53288.2021.9660946","pdf_url":null,"source":{"id":"https://openalex.org/S4363607971","display_name":"2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","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/A5111117805","display_name":"Jianyu Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyu Yuan","raw_affiliation_strings":["Hubei University of Technology,School of Computer Science,China","School of Computer Science, Hubei University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei University of Technology,School of Computer Science,China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012891430","display_name":"Chunyan Yan","orcid":"https://orcid.org/0000-0002-9209-6630"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyan Yan","raw_affiliation_strings":["Hubei University of Technology,School of Computer Science,China","School of Computer Science, Hubei University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei University of Technology,School of Computer Science,China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100670242","display_name":"Zhiwei Ye","orcid":"https://orcid.org/0000-0001-6668-4634"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Ye","raw_affiliation_strings":["Hubei University of Technology,School of Computer Science,China","School of Computer Science, Hubei University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei University of Technology,School of Computer Science,China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, China","institution_ids":["https://openalex.org/I74525822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2537,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52421442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"869","last_page":"874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994000196456909,"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":0.9994000196456909,"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/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.9980999827384949,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6872342824935913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6254028081893921},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5159871578216553},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.486594557762146},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.48587673902511597},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4633610248565674},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.4424339532852173},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4218325614929199},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41114920377731323},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3642893433570862},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1864202916622162},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1161547601222992}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6872342824935913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6254028081893921},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5159871578216553},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.486594557762146},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.48587673902511597},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4633610248565674},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.4424339532852173},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4218325614929199},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41114920377731323},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3642893433570862},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1864202916622162},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1161547601222992},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/idaacs53288.2021.9660946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idaacs53288.2021.9660946","pdf_url":null,"source":{"id":"https://openalex.org/S4363607971","display_name":"2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4705162379","display_name":null,"funder_award_id":"61502155,61772180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1732900210","https://openalex.org/W1820051232","https://openalex.org/W1963626514","https://openalex.org/W2015832884","https://openalex.org/W2101814837","https://openalex.org/W2137340504","https://openalex.org/W2143560894","https://openalex.org/W2151368381","https://openalex.org/W2165022466","https://openalex.org/W2290883490","https://openalex.org/W2553852618","https://openalex.org/W2738900493","https://openalex.org/W2770967934","https://openalex.org/W2990723369","https://openalex.org/W3154803405","https://openalex.org/W4246623349","https://openalex.org/W6637814505","https://openalex.org/W6770636185"],"related_works":["https://openalex.org/W2003904901","https://openalex.org/W2767141225","https://openalex.org/W2031035514","https://openalex.org/W2376444000","https://openalex.org/W1981084155","https://openalex.org/W2386922710","https://openalex.org/W2116579269","https://openalex.org/W3102725223","https://openalex.org/W2928759908","https://openalex.org/W2350523565"],"abstract_inverted_index":{"In":[0,70],"view":[1],"of":[2,25,30,49,98],"the":[3,28,37,41,47,64,75,87,144],"enterprise":[4],"personnel":[5,14],"management":[6,31,83],"(EPM),":[7],"a":[8],"novel":[9],"nature-inspired":[10],"optimization":[11,16,117,130],"algorithm":[12,118,122,125],"called":[13],"rating":[15],"(PRO)":[17],"is":[18,147],"proposed":[19],"in":[20,67,94],"this":[21,71],"paper.":[22],"The":[23],"design":[24],"PRO":[26,79,107,136],"mimics":[27],"workflow":[29],"activities":[32],"from":[33],"EPM":[34],"to":[35],"achieve":[36],"aim":[38],"for":[39],"bolstering":[40],"team's":[42],"competence":[43],"level.":[44],"Built":[45],"on":[46,106],"mechanisms":[48],"PRO,":[50],"including":[51,115],"personal":[52],"promotion,":[53],"swarm":[54,129],"interaction,":[55],"and":[56,80,90,108,127,140,143],"coordinated":[57],"management,":[58],"it":[59],"could":[60],"quickly":[61],"lock":[62],"onto":[63],"solution":[65],"region":[66],"high-dimensional":[68],"space.":[69],"study,":[72],"we":[73],"analyzed":[74],"essential":[76],"similarities":[77],"between":[78],"EMP":[81],"about":[82],"strategies,":[84],"then":[85],"presented":[86],"detailed":[88],"procedures":[89],"mathematical":[91],"model":[92],"applied":[93],"PRO.":[95],"A":[96],"set":[97],"various":[99],"numerical":[100],"benchmark":[101],"functions":[102],"have":[103],"been":[104],"conducted":[105],"some":[109],"other":[110],"state-of-art":[111],"natural":[112],"computation":[113],"algorithms":[114],"whale":[116],"(WOA),":[119],"differential":[120],"evolution":[121],"(DE),":[123],"genetic":[124],"(GA)":[126],"particle":[128],"(PSO).":[131],"Experimental":[132],"results":[133],"show":[134],"that":[135],"has":[137],"high":[138],"precision":[139],"good":[141],"stability,":[142],"premature":[145],"phenomenon":[146],"effectively":[148],"restrained.":[149]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
