{"id":"https://openalex.org/W2006488350","doi":"https://doi.org/10.1109/coase.2014.6899315","title":"A hybrid particle swarm optimization and simulated annealing algorithm for job-shop scheduling","display_name":"A hybrid particle swarm optimization and simulated annealing algorithm for job-shop scheduling","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2006488350","doi":"https://doi.org/10.1109/coase.2014.6899315","mag":"2006488350"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2014.6899315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2014.6899315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Automation Science and Engineering (CASE)","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/A5112126045","display_name":"Ping Chuan","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Chuan Ma","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","[School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China]"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072705483","display_name":"Fei Tao","orcid":"https://orcid.org/0000-0002-9020-0633"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Tao","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","[School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China]"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015299262","display_name":"Yi Long Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Long Liu","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","[School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China]"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418969","display_name":"Zhang Li","orcid":"https://orcid.org/0000-0003-1989-6102"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","[School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China]"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023994195","display_name":"Hua Xin Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Xin Lu","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","[School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China]"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102859798","display_name":"Zhi Ding","orcid":"https://orcid.org/0009-0008-7947-6605"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Ding","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","[School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China]"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China]","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5112126045"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":1.2315,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.82299455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"125","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9998999834060669,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.996999979019165,"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/T12288","display_name":"Optimization and Search Problems","score":0.9969000220298767,"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/simulated-annealing","display_name":"Simulated annealing","score":0.7613884806632996},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7091847658157349},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.705574631690979},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.5772528648376465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5754570960998535},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5544301867485046},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.5018050670623779},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.5010063648223877},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4686426818370819},{"id":"https://openalex.org/keywords/hybrid-algorithm","display_name":"Hybrid algorithm (constraint satisfaction)","score":0.45256996154785156},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4431864321231842},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.410768061876297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23244166374206543}],"concepts":[{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.7613884806632996},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7091847658157349},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.705574631690979},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.5772528648376465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5754570960998535},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5544301867485046},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.5018050670623779},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.5010063648223877},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4686426818370819},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.45256996154785156},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4431864321231842},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.410768061876297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23244166374206543},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C176783269","wikidata":"https://www.wikidata.org/wiki/Q5164378","display_name":"Constraint logic programming","level":4,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C173404611","wikidata":"https://www.wikidata.org/wiki/Q528588","display_name":"Constraint programming","level":3,"score":0.0},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"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/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2014.6899315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2014.6899315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W58198252","https://openalex.org/W1602076081","https://openalex.org/W1969308522","https://openalex.org/W1971338172","https://openalex.org/W1974601380","https://openalex.org/W1984543024","https://openalex.org/W2004173960","https://openalex.org/W2022306346","https://openalex.org/W2039404249","https://openalex.org/W2040838500","https://openalex.org/W2041252124","https://openalex.org/W2061087852","https://openalex.org/W2069721696","https://openalex.org/W2071521748","https://openalex.org/W2079641336","https://openalex.org/W2080986072","https://openalex.org/W2081278763","https://openalex.org/W2085495361","https://openalex.org/W2094085173","https://openalex.org/W2109364787","https://openalex.org/W2116498938","https://openalex.org/W2152195021","https://openalex.org/W2156391157","https://openalex.org/W2157846217","https://openalex.org/W2164479964","https://openalex.org/W2170428215","https://openalex.org/W2314703629","https://openalex.org/W6635910384","https://openalex.org/W6698908840"],"related_works":["https://openalex.org/W2123829500","https://openalex.org/W2305572622","https://openalex.org/W4283765137","https://openalex.org/W2371075315","https://openalex.org/W4317496694","https://openalex.org/W3174749984","https://openalex.org/W4212897237","https://openalex.org/W2887485518","https://openalex.org/W2143668930","https://openalex.org/W1655912143"],"abstract_inverted_index":{"It":[0],"is":[1,37,43,62,81,89],"a":[2,21,35,40,53],"NP-Hard":[3],"problem":[4,16,129],"to":[5,9,45,67,91],"obtain":[6],"optimal":[7,72,94],"solutions":[8],"deal":[10],"with":[11,58,125],"the":[12,47,65,75,78,93,97,116,126,131],"large-size":[13],"job-shop":[14],"scheduling":[15],"(JSSP).":[17],"In":[18],"this":[19],"paper,":[20],"new":[22],"hybrid":[23,118],"algorithm":[24,32,66,119],"based":[25,103],"on":[26,104],"traditional":[27],"particle":[28],"swarm":[29],"optimization":[30],"(PSO)":[31],"for":[33],"addressing":[34],"JSSP":[36],"proposed.":[38],"Firstly,":[39],"particles":[41],"encoding":[42],"designed":[44],"reduce":[46],"range":[48],"of":[49,77,107],"solution":[50,95],"space.":[51],"Secondly,":[52],"simulated":[54],"annealing":[55],"operator":[56,61,88],"combined":[57],"local":[59,71],"search":[60,80,92],"immersed":[63],"into":[64],"extricate":[68],"itself":[69],"from":[70],"solution,":[73],"and":[74,110],"performance":[76,122],"individual":[79],"improved":[82],"as":[83],"well.":[84],"Furthermore,":[85],"an":[86],"interference":[87],"integrated":[90],"by":[96],"rapid":[98],"convergence":[99],"features.":[100],"Experimental":[101],"results":[102],"benchmark":[105],"problems":[106],"LA":[108],"instances":[109,113],"some":[111],"FT":[112],"demonstrate":[114],"that":[115],"proposed":[117],"shows":[120],"higher":[121],"in":[123],"dealing":[124],"classical":[127],"large-scale":[128],"than":[130],"original":[132],"design.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}