{"id":"https://openalex.org/W2995383305","doi":"https://doi.org/10.1080/17517575.2019.1700551","title":"The workshop scheduling problems based on data mining and particle swarm optimisation algorithm in machine learning areas","display_name":"The workshop scheduling problems based on data mining and particle swarm optimisation algorithm in machine learning areas","publication_year":2019,"publication_date":"2019-12-10","ids":{"openalex":"https://openalex.org/W2995383305","doi":"https://doi.org/10.1080/17517575.2019.1700551","mag":"2995383305"},"language":"en","primary_location":{"id":"doi:10.1080/17517575.2019.1700551","is_oa":false,"landing_page_url":"https://doi.org/10.1080/17517575.2019.1700551","pdf_url":null,"source":{"id":"https://openalex.org/S24861202","display_name":"Enterprise Information Systems","issn_l":"1751-7575","issn":["1751-7575","1751-7583"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Enterprise Information Systems","raw_type":"journal-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/A5101607190","display_name":"Yingying Su","orcid":"https://orcid.org/0000-0001-9452-3678"},"institutions":[{"id":"https://openalex.org/I42852656","display_name":"Shenyang University","ror":"https://ror.org/04ddfwm68","country_code":"CN","type":"education","lineage":["https://openalex.org/I42852656"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingying Su","raw_affiliation_strings":["School of Mechanical Engineering, Shenyang University, Shenyang, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shenyang University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I42852656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101043720","display_name":"Lianjuan Han","orcid":null},"institutions":[{"id":"https://openalex.org/I42852656","display_name":"Shenyang University","ror":"https://ror.org/04ddfwm68","country_code":"CN","type":"education","lineage":["https://openalex.org/I42852656"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianjuan Han","raw_affiliation_strings":["School of Mechanical Engineering, Shenyang University, Shenyang, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shenyang University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I42852656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411010","display_name":"Huimin Wang","orcid":"https://orcid.org/0000-0001-8766-6101"},"institutions":[{"id":"https://openalex.org/I42852656","display_name":"Shenyang University","ror":"https://ror.org/04ddfwm68","country_code":"CN","type":"education","lineage":["https://openalex.org/I42852656"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimin Wang","raw_affiliation_strings":["School of Mechanical Engineering, Shenyang University, Shenyang, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shenyang University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I42852656"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100458008","display_name":"Jianan Wang","orcid":"https://orcid.org/0000-0003-4161-1687"},"institutions":[{"id":"https://openalex.org/I42852656","display_name":"Shenyang University","ror":"https://ror.org/04ddfwm68","country_code":"CN","type":"education","lineage":["https://openalex.org/I42852656"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianan Wang","raw_affiliation_strings":["School of Mechanical Engineering, Shenyang University, Shenyang, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shenyang University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I42852656"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101607190"],"corresponding_institution_ids":["https://openalex.org/I42852656"],"apc_list":null,"apc_paid":null,"fwci":1.9579,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.88852893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":"2","first_page":"363","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9980000257492065,"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":0.9980000257492065,"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":0.9886999726295471,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9846000075340271,"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/crossover","display_name":"Crossover","score":0.8114480972290039},{"id":"https://openalex.org/keywords/inertia","display_name":"Inertia","score":0.7345426082611084},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6668006777763367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.623826801776886},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6087024211883545},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5706115365028381},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.5556977987289429},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5039200186729431},{"id":"https://openalex.org/keywords/jump","display_name":"Jump","score":0.4674839377403259},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4351721405982971},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.408562034368515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25585609674453735},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22479495406150818},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19569313526153564}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8114480972290039},{"id":"https://openalex.org/C110407247","wikidata":"https://www.wikidata.org/wiki/Q122508","display_name":"Inertia","level":2,"score":0.7345426082611084},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6668006777763367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.623826801776886},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6087024211883545},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5706115365028381},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.5556977987289429},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5039200186729431},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.4674839377403259},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4351721405982971},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.408562034368515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25585609674453735},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22479495406150818},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19569313526153564},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/17517575.2019.1700551","is_oa":false,"landing_page_url":"https://doi.org/10.1080/17517575.2019.1700551","pdf_url":null,"source":{"id":"https://openalex.org/S24861202","display_name":"Enterprise Information Systems","issn_l":"1751-7575","issn":["1751-7575","1751-7583"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Enterprise Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3863989208","display_name":null,"funder_award_id":"20180551001","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"}],"funders":[{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2028904348","https://openalex.org/W2095558004","https://openalex.org/W2407894843","https://openalex.org/W2591637099","https://openalex.org/W2593221340","https://openalex.org/W2607792792","https://openalex.org/W2738628606","https://openalex.org/W2740029357","https://openalex.org/W2751555288","https://openalex.org/W2770963638","https://openalex.org/W2788278824","https://openalex.org/W2790478433","https://openalex.org/W2790763152","https://openalex.org/W2807170684","https://openalex.org/W2888921646","https://openalex.org/W2892139737","https://openalex.org/W2897129967","https://openalex.org/W2898306420","https://openalex.org/W2908228182","https://openalex.org/W2914712589","https://openalex.org/W2915062141","https://openalex.org/W2916944508","https://openalex.org/W2932876104","https://openalex.org/W2937743422","https://openalex.org/W2938360797","https://openalex.org/W2944373801","https://openalex.org/W2947277453","https://openalex.org/W2947374516","https://openalex.org/W3151157462","https://openalex.org/W4247245376","https://openalex.org/W4252681483","https://openalex.org/W4406030363"],"related_works":["https://openalex.org/W1982679530","https://openalex.org/W3111286355","https://openalex.org/W4285212364","https://openalex.org/W2360100473","https://openalex.org/W2147124600","https://openalex.org/W3176469451","https://openalex.org/W1934426788","https://openalex.org/W2794525671","https://openalex.org/W2998284541","https://openalex.org/W2354854389"],"abstract_inverted_index":{"The":[0,20,39],"optimisation":[1,36],"process":[2],"and":[3,7,15,43,57],"results":[4,21],"are":[5],"classified":[6],"stored":[8],"to":[9,31,51,82,88],"guide":[10],"the":[11,17,24,32,53,67,76],"future":[12],"workshop":[13],"scheduling":[14],"improve":[16],"retrieval":[18],"efficiency.":[19],"show":[22],"that":[23,90],"random":[25],"inertia":[26],"weight":[27],"strategy":[28],"is":[29,49,93],"added":[30],"standard":[33],"particle":[34],"swarm":[35],"(PSO)":[37],"algorithm.":[38],"idea":[40],"of":[41,55,79,85],"crossover":[42],"mutation":[44],"in":[45],"genetic":[46,80],"algorithm":[47,81],"(GA)":[48],"introduced":[50],"increase":[52],"diversity":[54],"population":[56,91],"prevent":[58],"it":[59],"from":[60],"falling":[61],"into":[62],"local":[63,86],"optimal":[64,69,87],"solution.":[65],"Finally,":[66],"global":[68],"solution":[70],"can":[71],"be":[72],"searched":[73],"by":[74],"using":[75],"strong":[77],"ability":[78],"jump":[83],"out":[84],"ensure":[89],"evolution":[92],"stagnated.":[94]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
