{"id":"https://openalex.org/W2990405040","doi":"https://doi.org/10.1007/s10479-019-03479-6","title":"Multivalued decision diagrams for prize-collecting job sequencing with one common and multiple secondary resources","display_name":"Multivalued decision diagrams for prize-collecting job sequencing with one common and multiple secondary resources","publication_year":2019,"publication_date":"2019-11-21","ids":{"openalex":"https://openalex.org/W2990405040","doi":"https://doi.org/10.1007/s10479-019-03479-6","mag":"2990405040"},"language":"en","primary_location":{"id":"doi:10.1007/s10479-019-03479-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10479-019-03479-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10479-019-03479-6.pdf","source":{"id":"https://openalex.org/S57667410","display_name":"Annals of Operations Research","issn_l":"0254-5330","issn":["0254-5330","1572-9338"],"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":"Annals of Operations Research","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/s10479-019-03479-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031452762","display_name":"Johannes Maschler","orcid":null},"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":"Johannes Maschler","raw_affiliation_strings":["Institute of Logic and Computation, TU Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Logic and Computation, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030647388","display_name":"G\u00fcnther R. Raidl","orcid":"https://orcid.org/0000-0002-3293-177X"},"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":"G\u00fcnther R. Raidl","raw_affiliation_strings":["Institute of Logic and Computation, TU Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Logic and Computation, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031452762"],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19663505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"302","issue":"2","first_page":"507","last_page":"531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.998199999332428,"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":0.998199999332428,"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/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9868000149726868,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9835000038146973,"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/theory-of-computation","display_name":"Theory of computation","score":0.7230744361877441},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6531420350074768},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6345559358596802},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46528878808021545},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.45106935501098633},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34943562746047974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2906038463115692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18331345915794373}],"concepts":[{"id":"https://openalex.org/C24858836","wikidata":"https://www.wikidata.org/wiki/Q844718","display_name":"Theory of computation","level":2,"score":0.7230744361877441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6531420350074768},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6345559358596802},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46528878808021545},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.45106935501098633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34943562746047974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2906038463115692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18331345915794373},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10479-019-03479-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10479-019-03479-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10479-019-03479-6.pdf","source":{"id":"https://openalex.org/S57667410","display_name":"Annals of Operations Research","issn_l":"0254-5330","issn":["0254-5330","1572-9338"],"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":"Annals of Operations Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:annopr:v:302:y:2021:i:2:d:10.1007_s10479-019-03479-6","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10479-019-03479-6","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:repositum.tuwien.at:20.500.12708/20286","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.12708/20286","pdf_url":null,"source":{"id":"https://openalex.org/S4306400494","display_name":"reposiTUm (TU Wien)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145847075","host_organization_name":"TU Wien","host_organization_lineage":["https://openalex.org/I145847075"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1007/s10479-019-03479-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10479-019-03479-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10479-019-03479-6.pdf","source":{"id":"https://openalex.org/S57667410","display_name":"Annals of Operations Research","issn_l":"0254-5330","issn":["0254-5330","1572-9338"],"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":"Annals of Operations Research","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5299999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322839","display_name":"Technische Universit\u00e4t Wien","ror":"https://ror.org/04d836q62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2990405040.pdf","grobid_xml":"https://content.openalex.org/works/W2990405040.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W187588655","https://openalex.org/W1501750204","https://openalex.org/W1583086045","https://openalex.org/W1700954517","https://openalex.org/W1795622689","https://openalex.org/W2040549643","https://openalex.org/W2050718739","https://openalex.org/W2098813345","https://openalex.org/W2099251677","https://openalex.org/W2110410218","https://openalex.org/W2140742285","https://openalex.org/W2169403817","https://openalex.org/W2187140470","https://openalex.org/W2407506046","https://openalex.org/W2551102339","https://openalex.org/W2599096304","https://openalex.org/W2600961830","https://openalex.org/W2753500095","https://openalex.org/W2887946162","https://openalex.org/W2894855914","https://openalex.org/W2910353040","https://openalex.org/W3123057019","https://openalex.org/W4210953350","https://openalex.org/W4240544076","https://openalex.org/W6637347803"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2544423928","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2052122378","https://openalex.org/W2062023542","https://openalex.org/W3168886930"],"abstract_inverted_index":{"Abstract":[0],"Multivalued":[1],"decision":[2],"diagrams":[3],"(MDD)":[4],"are":[5,20,110,131],"a":[6,38,44,103,140],"powerful":[7],"tool":[8],"for":[9,32,72,76,116],"approaching":[10],"combinatorial":[11],"optimization":[12],"problems.":[13],"Relatively":[14],"compact":[15],"relaxed":[16,74],"and":[17,26,29,56,84,99,137],"restricted":[18,135,155],"MDDs":[19,75,124,136,156],"applied":[21],"to":[22,50,68,159,168],"obtain":[23],"dual":[24],"bounds":[25],"heuristic":[27,129],"solutions":[28,130,162],"provide":[30],"opportunities":[31],"new":[33],"branching":[34],"schemes.":[35],"We":[36],"consider":[37],"prize-collecting":[39],"sequencing":[40],"problem":[41,118],"in":[42,93],"which":[43],"subset":[45],"of":[46,64,105,154],"given":[47],"jobs":[48],"has":[49],"be":[51],"found":[52,92],"that":[53,115,149],"is":[54,67,157],"schedulable":[55],"yields":[57],"maximum":[58],"total":[59],"prize.":[60],"The":[61,112],"primary":[62],"aim":[63],"this":[65,77,80],"work":[66],"study":[69],"different":[70],"methods":[71,109],"creating":[73],"problem.":[78],"To":[79],"end,":[81],"we":[82,147],"adopt":[83],"extend":[85],"the":[86,94,119,150,164],"two":[87],"main":[88],"MDD":[89],"compilation":[90],"approaches":[91],"literature:":[95],"top":[96,151],"down":[97,152],"construction":[98,153],"incremental":[100,120],"refinement.":[101],"In":[102],"series":[104],"computational":[106],"experiments":[107],"these":[108],"compared.":[111],"results":[113],"indicate":[114],"our":[117],"refinement":[121],"method":[122],"produces":[123],"with":[125],"stronger":[126],"bounds.":[127],"Moreover,":[128],"derived":[132],"by":[133,138],"compiling":[134],"applying":[139],"general":[141],"variable":[142],"neighborhood":[143],"search":[144],"(GVNS).":[145],"Here":[146],"observe":[148],"able":[158],"yield":[160],"better":[161],"as":[163],"GVNS":[165],"on":[166],"small":[167],"medium-sized":[169],"instances.":[170]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}