{"id":"https://openalex.org/W2024469451","doi":"https://doi.org/10.1109/bicta.2010.5645061","title":"Solving hot rolling scheduling problem by a new population-based extremal optimization algorithm","display_name":"Solving hot rolling scheduling problem by a new population-based extremal optimization algorithm","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2024469451","doi":"https://doi.org/10.1109/bicta.2010.5645061","mag":"2024469451"},"language":"en","primary_location":{"id":"doi:10.1109/bicta.2010.5645061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bicta.2010.5645061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","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/A5001873452","display_name":"Kai Sun","orcid":"https://orcid.org/0000-0001-5304-9084"},"institutions":[{"id":"https://openalex.org/I4210098777","display_name":"Fujian Research Institute of Light Industry","ror":"https://ror.org/00xphjh14","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098777"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sun Kai","raw_affiliation_strings":["School of Electronic Information and Control Engineering, Shandong Institute of Light Industry Jinan, Shandong, China","School of Electronic Information and Control Engineering, Shandong Institute of Light Industry, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Control Engineering, Shandong Institute of Light Industry Jinan, Shandong, China","institution_ids":["https://openalex.org/I4210098777"]},{"raw_affiliation_string":"School of Electronic Information and Control Engineering, Shandong Institute of Light Industry, Jinan, China","institution_ids":["https://openalex.org/I4210098777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001818611","display_name":"Genke Yang","orcid":"https://orcid.org/0000-0003-3492-0211"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genke Yang","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, China","Department of Automation, Shanghai Jiao Tong University China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077182541","display_name":"Changchun Pan","orcid":"https://orcid.org/0000-0001-8464-2745"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changchun Pan","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, China","Department of Automation, Shanghai Jiao Tong University China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001873452"],"corresponding_institution_ids":["https://openalex.org/I4210098777"],"apc_list":null,"apc_paid":null,"fwci":0.451,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72056792,"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":"1189","last_page":"1193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9959999918937683,"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":0.9959999918937683,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.991100013256073,"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"}},{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.9876999855041504,"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.6872406601905823},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.6573725938796997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5955497622489929},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5899655222892761},{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.5689533352851868},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5239553451538086},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4467935860157013},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3665618300437927},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.33957111835479736},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2073783576488495}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6872406601905823},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.6573725938796997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5955497622489929},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5899655222892761},{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.5689533352851868},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5239553451538086},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4467935860157013},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3665618300437927},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.33957111835479736},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2073783576488495},{"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/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/bicta.2010.5645061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bicta.2010.5645061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1481579165","https://openalex.org/W1752423028","https://openalex.org/W1965726270","https://openalex.org/W1966151890","https://openalex.org/W1978322605","https://openalex.org/W2002730737","https://openalex.org/W2008879046","https://openalex.org/W2013847728","https://openalex.org/W2041377521","https://openalex.org/W2049828308","https://openalex.org/W2060124106","https://openalex.org/W2075514521","https://openalex.org/W2086339780","https://openalex.org/W2097078933","https://openalex.org/W2152195021","https://openalex.org/W2951367323","https://openalex.org/W2963332217","https://openalex.org/W3145866806","https://openalex.org/W6637824519"],"related_works":["https://openalex.org/W4312143452","https://openalex.org/W2018691209","https://openalex.org/W4247364272","https://openalex.org/W3133151256","https://openalex.org/W2132920749","https://openalex.org/W2101108574","https://openalex.org/W2157331354","https://openalex.org/W2626773395","https://openalex.org/W1575940985","https://openalex.org/W3204654320"],"abstract_inverted_index":{"Hot":[0],"rolling":[1],"scheduling":[2],"problem":[3,22,30],"(HRSP)":[4],"is":[5,23,83,92,115],"an":[6],"important":[7],"research":[8],"and":[9,15,105],"development":[10],"area":[11],"for":[12],"both":[13],"academic":[14],"steel":[16],"industries.":[17],"In":[18],"the":[19,21,51,73,87,112,120],"paper,":[20],"formulated":[24],"as":[25,59],"a":[26,39,68,95],"prize-collecting":[27],"vehicle":[28],"routing":[29],"(PCVRP),":[31],"which":[32,71],"considers":[33],"two":[34],"major":[35],"requirements:":[36],"(a)":[37],"selecting":[38],"subset":[40],"of":[41,97],"slabs":[42,45],"from":[43],"manufacturing":[44],"to":[46,85,94,101,118],"be":[47],"processed;":[48],"(b)":[49],"determining":[50],"optimal":[52],"production":[53,99],"sequence":[54],"under":[55],"multiple":[56],"constraints,":[57],"such":[58],"sequence-dependant":[60],"transition":[61],"costs,":[62],"non-execution":[63],"penalties":[64],"etc.":[65],"And":[66],"then,":[67],"new":[69,113],"algorithm":[70,91],"combines":[72],"extremal":[74],"optimization":[75],"(EO)":[76],"with":[77],"population":[78],"evolutionary":[79],"technique,":[80],"called":[81],"PEOA,":[82],"proposed":[84,90],"solve":[86,119],"problem.":[88,121],"The":[89,107],"applied":[93],"set":[96],"real":[98],"data":[100],"test":[102],"its":[103],"performance":[104],"efficiency.":[106],"experimental":[108],"results":[109],"show":[110],"that":[111],"PEOA":[114],"very":[116],"effective":[117]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
