{"id":"https://openalex.org/W2127831420","doi":"https://doi.org/10.1109/cdc.2009.5400914","title":"Solve the optimum steelmaking charge plan with unknown charge number using improved DPSO","display_name":"Solve the optimum steelmaking charge plan with unknown charge number using improved DPSO","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2127831420","doi":"https://doi.org/10.1109/cdc.2009.5400914","mag":"2127831420"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2009.5400914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100855350","display_name":"Yuncan Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"funder","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuncan Xue","raw_affiliation_strings":["College of Computer and Information Engineering, Hohai University, Changzhou, China#TAB#"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Hohai University, Changzhou, China#TAB#","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001447775","display_name":"Dongliang Zheng","orcid":"https://orcid.org/0000-0001-8693-4725"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"funder","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongliang Zheng","raw_affiliation_strings":["College of Computer and Information Engineering, Hohai University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Hohai University, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394696","display_name":"Fei Liu","orcid":"https://orcid.org/0000-0003-3561-3619"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"funder","lineage":["https://openalex.org/I111599522"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Liu","raw_affiliation_strings":["Institute of Automation Jiangnan University Wuxi China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation Jiangnan University Wuxi China","institution_ids":["https://openalex.org/I111599522","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100523355","display_name":"Qiwen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"funder","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiwen Yang","raw_affiliation_strings":["College of Computer and Information Engineering, Hohai University, Changzhou, China#TAB#"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Hohai University, Changzhou, China#TAB#","institution_ids":["https://openalex.org/I163340411"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":64},"biblio":{"volume":null,"issue":null,"first_page":"6268","last_page":"6273"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.992,"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":0.992,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9836,"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"}},{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9607,"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/operator","display_name":"Operator (biology)","score":0.5175325}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6898352},{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.6637692},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.61978596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5564775},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5537919},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.55085254},{"id":"https://openalex.org/C188082385","wikidata":"https://www.wikidata.org/wiki/Q73792","display_name":"Charge (physics)","level":2,"score":0.5472472},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5245222},{"id":"https://openalex.org/C104806805","wikidata":"https://www.wikidata.org/wiki/Q482090","display_name":"Steelmaking","level":2,"score":0.52082694},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5175325},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.43753222},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32620162},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24356213},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.07933366},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2009.5400914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.42,"display_name":"Industry, innovation and infrastructure"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":7,"referenced_works":["https://openalex.org/W1503369191","https://openalex.org/W1969720759","https://openalex.org/W2015164669","https://openalex.org/W2089196696","https://openalex.org/W2109364787","https://openalex.org/W2152195021","https://openalex.org/W2402846924"],"related_works":["https://openalex.org/W2561947659","https://openalex.org/W2523483696","https://openalex.org/W2391619839","https://openalex.org/W2378901107","https://openalex.org/W2371056037","https://openalex.org/W2370135024","https://openalex.org/W2351998849","https://openalex.org/W2349186483","https://openalex.org/W1992934242","https://openalex.org/W1525389557"],"abstract_inverted_index":{"Iron":[0],"and":[1,7,102,135],"Steel":[2],"industrial":[3],"is":[4,40,88,95,111,119],"an":[5,77],"essential":[6],"sizable":[8],"sector":[9],"for":[10,122],"industrialized":[11],"economies.":[12],"This":[13],"paper":[14],"presents":[15],"a":[16,34],"mathematical":[17],"charge":[18,56,62,70],"plan":[19],"model":[20,39,134],"of":[21,26,92],"the":[22,27,31,44,54,61,69,75,93,103,107,114,124,133,136],"steelmaking":[23],"scheduling.":[24],"Because":[25],"difficulty":[28],"to":[29,42],"solve":[30,53,74],"problem":[32,38,57,118],"directly,":[33],"pseudo":[35,115],"travel":[36,116],"salesman":[37,117],"presented":[41],"describe":[43,123],"scheduling":[45],"plan.":[46],"By":[47],"using":[48],"this":[49],"method,":[50],"we":[51],"can":[52],"optimum":[55],"even":[58],"without":[59],"known":[60],"number,":[63],"while":[64],"other":[65],"methods":[66],"must":[67],"know":[68],"number":[71],"previously.":[72],"To":[73],"problem,":[76],"improved":[78,108],"discrete":[79],"particle":[80],"swarm":[81],"optimization":[82],"with":[83,128],"inver":[84],"over":[85],"operator":[86],"(IDPSO)":[87],"presented.":[89],"Parameter":[90],"selection":[91],"algorithm":[94,110],"detailed":[96],"discussed.":[97],"Simulations":[98],"have":[99],"been":[100],"carried":[101],"results":[104],"show":[105],"that":[106,132],"DPSO":[109],"very":[112,120,140],"efficient,":[113],"fit":[121],"model.":[125],"The":[126],"computation":[127],"practical":[129],"data":[130],"shows":[131],"solving":[137],"method":[138],"are":[139],"effective.":[141]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2127831420","counts_by_year":[],"updated_date":"2025-01-31T21:05:35.300617","created_date":"2016-06-24"}