{"id":"https://openalex.org/W3200300706","doi":"https://doi.org/10.1007/s10951-021-00699-2","title":"Local search approaches for the test laboratory scheduling problem with variable task grouping","display_name":"Local search approaches for the test laboratory scheduling problem with variable task grouping","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3200300706","doi":"https://doi.org/10.1007/s10951-021-00699-2","mag":"3200300706"},"language":"en","primary_location":{"id":"doi:10.1007/s10951-021-00699-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10951-021-00699-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10951-021-00699-2.pdf","source":{"id":"https://openalex.org/S91278097","display_name":"Journal of Scheduling","issn_l":"1094-6136","issn":["1094-6136","1099-1425"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Scheduling","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10951-021-00699-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070649773","display_name":"Florian Mischek","orcid":"https://orcid.org/0000-0003-1166-3881"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Florian Mischek","raw_affiliation_strings":["Christian Doppler Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling, DBAI, TU Wien, Vienna, Austria"],"raw_orcid":"https://orcid.org/0000-0003-1166-3881","affiliations":[{"raw_affiliation_string":"Christian Doppler Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling, DBAI, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084546772","display_name":"Nysret Musliu","orcid":"https://orcid.org/0000-0002-3992-8637"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Nysret Musliu","raw_affiliation_strings":["Christian Doppler Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling, DBAI, TU Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Christian Doppler Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling, DBAI, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047923261","display_name":"Andrea Schaerf","orcid":"https://orcid.org/0000-0001-6965-0536"},"institutions":[{"id":"https://openalex.org/I129043915","display_name":"University of Udine","ror":"https://ror.org/05ht0mh31","country_code":"IT","type":"education","lineage":["https://openalex.org/I129043915"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Schaerf","raw_affiliation_strings":["University of Udine, Udine, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Udine, Udine, Italy","institution_ids":["https://openalex.org/I129043915"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070649773"],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":0.8975,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76613856,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"26","issue":"5","first_page":"457","last_page":"477"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12177","display_name":"Resource-Constrained Project Scheduling","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12177","display_name":"Resource-Constrained Project Scheduling","score":0.9998000264167786,"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/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.9988999962806702,"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":0.9980999827384949,"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/metaheuristic","display_name":"Metaheuristic","score":0.7654305696487427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7102441787719727},{"id":"https://openalex.org/keywords/variable-neighborhood-search","display_name":"Variable neighborhood search","score":0.628877580165863},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.6266453266143799},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6123135089874268},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.5673868060112},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5385149121284485},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.5187287926673889},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24302977323532104},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21480831503868103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15048831701278687},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.08618563413619995}],"concepts":[{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.7654305696487427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7102441787719727},{"id":"https://openalex.org/C2776435737","wikidata":"https://www.wikidata.org/wiki/Q7915703","display_name":"Variable neighborhood search","level":3,"score":0.628877580165863},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6266453266143799},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6123135089874268},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.5673868060112},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5385149121284485},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.5187287926673889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24302977323532104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21480831503868103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15048831701278687},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.08618563413619995},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10951-021-00699-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10951-021-00699-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10951-021-00699-2.pdf","source":{"id":"https://openalex.org/S91278097","display_name":"Journal of Scheduling","issn_l":"1094-6136","issn":["1094-6136","1099-1425"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Scheduling","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:jsched:v:26:y:2023:i:5:d:10.1007_s10951-021-00699-2","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10951-021-00699-2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:air.uniud.it:11390/1211840","is_oa":true,"landing_page_url":"http://hdl.handle.net/11390/1211840","pdf_url":null,"source":{"id":"https://openalex.org/S4306401163","display_name":"Institutional Research Information System (University of Udine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I129043915","host_organization_name":"University of Udine","host_organization_lineage":["https://openalex.org/I129043915"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10951-021-00699-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10951-021-00699-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10951-021-00699-2.pdf","source":{"id":"https://openalex.org/S91278097","display_name":"Journal of Scheduling","issn_l":"1094-6136","issn":["1094-6136","1099-1425"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Scheduling","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311813","display_name":"\u00d6sterreichische Nationalstiftung f\u00fcr Forschung, Technologie und Entwicklung","ror":"https://ror.org/04hb33h70"},{"id":"https://openalex.org/F4320322839","display_name":"Technische Universit\u00e4t Wien","ror":"https://ror.org/04d836q62"},{"id":"https://openalex.org/F4320323591","display_name":"Christian Doppler Forschungsgesellschaft","ror":"https://ror.org/00mv8h305"},{"id":"https://openalex.org/F4320327593","display_name":"Bundesministerium f\u00fcr Digitalisierung und Wirtschaftsstandort","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3200300706.pdf","grobid_xml":"https://content.openalex.org/works/W3200300706.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W35584122","https://openalex.org/W56476972","https://openalex.org/W60686164","https://openalex.org/W139304063","https://openalex.org/W226433917","https://openalex.org/W1583958891","https://openalex.org/W1605876683","https://openalex.org/W1734532720","https://openalex.org/W1963988630","https://openalex.org/W1966523365","https://openalex.org/W1967545722","https://openalex.org/W1996721980","https://openalex.org/W1999456927","https://openalex.org/W2007413052","https://openalex.org/W2024060531","https://openalex.org/W2025554987","https://openalex.org/W2038345112","https://openalex.org/W2039397685","https://openalex.org/W2061929703","https://openalex.org/W2070975460","https://openalex.org/W2075164088","https://openalex.org/W2121766240","https://openalex.org/W2140742285","https://openalex.org/W2186140732","https://openalex.org/W2235145741","https://openalex.org/W2511017421","https://openalex.org/W2746303749","https://openalex.org/W2755078414","https://openalex.org/W2767895062","https://openalex.org/W2783455430","https://openalex.org/W2810821584","https://openalex.org/W2911922644","https://openalex.org/W2945044967","https://openalex.org/W3037219267","https://openalex.org/W3121748795","https://openalex.org/W3133821530","https://openalex.org/W4285719527","https://openalex.org/W4404611346"],"related_works":["https://openalex.org/W1939200287","https://openalex.org/W2082305040","https://openalex.org/W4381955380","https://openalex.org/W30690955","https://openalex.org/W2612803944","https://openalex.org/W2978804656","https://openalex.org/W1980833393","https://openalex.org/W1967228184","https://openalex.org/W2056882555","https://openalex.org/W2156819531"],"abstract_inverted_index":{"Abstract":[0],"The":[1,116],"Test":[2],"Laboratory":[3],"Scheduling":[4,18],"Problem":[5,19],"(TLSP)":[6],"is":[7,118],"a":[8,126],"real-world":[9,90,128],"scheduling":[10],"problem":[11],"that":[12,63,100],"extends":[13],"the":[14,27,39,65,104,111,122],"well-known":[15],"Resource-Constrained":[16],"Project":[17],"(RCPSP)":[20],"by":[21,38,78],"several":[22,35],"new":[23,61],"constraints.":[24],"Most":[25],"importantly,":[26],"jobs":[28],"have":[29],"to":[30,81,97],"be":[31,44],"assembled":[32],"out":[33],"of":[34,67,125],"smaller":[36],"tasks":[37],"solver,":[40],"before":[41],"they":[42,75],"can":[43],"scheduled.":[45],"In":[46,69,92],"this":[47,56],"paper,":[48],"we":[49],"introduce":[50],"different":[51],"metaheuristic":[52],"solution":[53],"approaches":[54],"for":[55,73,85,113,121],"problem.":[57],"We":[58],"propose":[59],"four":[60],"neighborhoods":[62,72],"modify":[64],"grouping":[66],"tasks.":[68],"combination":[70],"with":[71,103],"scheduling,":[74],"are":[76,101],"used":[77,120],"our":[79],"metaheuristics":[80],"produce":[82],"high-quality":[83],"solutions":[84,99],"both":[86],"randomly":[87],"generated":[88],"and":[89,108],"instances.":[91,115],"particular,":[93],"Simulated":[94],"Annealing":[95],"managed":[96],"find":[98],"competitive":[102],"best":[105],"known":[106],"results":[107],"improve":[109],"upon":[110],"state-of-the-art":[112],"larger":[114],"algorithm":[117],"currently":[119],"daily":[123],"planning":[124],"large":[127],"laboratory.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}