{"id":"https://openalex.org/W2395197124","doi":"https://doi.org/10.5220/0004816704200427","title":"Modeling and Algorithm for Dynamic Multi-objective Weighted Constraint Satisfaction Problem","display_name":"Modeling and Algorithm for Dynamic Multi-objective Weighted Constraint Satisfaction Problem","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2395197124","doi":"https://doi.org/10.5220/0004816704200427","mag":"2395197124"},"language":"en","primary_location":{"id":"doi:10.5220/0004816704200427","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004816704200427","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0004816704200427","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070655747","display_name":"Tenda Okimoto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tenda Okimoto","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105511743","display_name":"Tony Ribeiro","orcid":"https://orcid.org/0000-0002-1793-2854"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tony Ribeiro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070444454","display_name":"Maxime Cl\u00e9ment","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maxime Clement","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5080458729","display_name":"Katsumi Inoue","orcid":"https://orcid.org/0000-0002-2717-9122"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Katsumi Inoue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1039,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77952985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"\uff11","issue":null,"first_page":"420","last_page":"427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9743000268936157,"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/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.9490000009536743,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/constraint-satisfaction-problem","display_name":"Constraint satisfaction problem","score":0.674460768699646},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5980646014213562},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5852534770965576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5743646621704102},{"id":"https://openalex.org/keywords/constraint-satisfaction-dual-problem","display_name":"Constraint satisfaction dual problem","score":0.5672072768211365},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5495570302009583},{"id":"https://openalex.org/keywords/constraint-satisfaction","display_name":"Constraint satisfaction","score":0.5243791937828064},{"id":"https://openalex.org/keywords/branch-and-bound","display_name":"Branch and bound","score":0.5207493305206299},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4871616065502167},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.42955881357192993},{"id":"https://openalex.org/keywords/local-consistency","display_name":"Local consistency","score":0.4057846665382385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2708667516708374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09276473522186279}],"concepts":[{"id":"https://openalex.org/C199622910","wikidata":"https://www.wikidata.org/wiki/Q1128326","display_name":"Constraint satisfaction problem","level":3,"score":0.674460768699646},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5980646014213562},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5852534770965576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5743646621704102},{"id":"https://openalex.org/C183046576","wikidata":"https://www.wikidata.org/wiki/Q5164380","display_name":"Constraint satisfaction dual problem","level":5,"score":0.5672072768211365},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5495570302009583},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.5243791937828064},{"id":"https://openalex.org/C93693863","wikidata":"https://www.wikidata.org/wiki/Q897659","display_name":"Branch and bound","level":2,"score":0.5207493305206299},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4871616065502167},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.42955881357192993},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.4057846665382385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2708667516708374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09276473522186279},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0004816704200427","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004816704200427","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:00947:0001443915","is_oa":true,"landing_page_url":"https://ir.soken.ac.jp/records/5161","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"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":"Proceedings of the 6th International Conference on Agents and Artificial Intelligence","raw_type":"conference paper"}],"best_oa_location":{"id":"doi:10.5220/0004816704200427","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004816704200427","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2091348864","https://openalex.org/W2569549435","https://openalex.org/W2784687883","https://openalex.org/W1550482496","https://openalex.org/W2141935412","https://openalex.org/W2737098235","https://openalex.org/W2012141606","https://openalex.org/W2012694101","https://openalex.org/W2161128834","https://openalex.org/W96881443"],"abstract_inverted_index":{"A":[0,18],"Constraint":[1,20],"Satisfaction":[2,21],"Problem":[3,22],"(CSP)":[4],"is":[5,24,37,109,164],"a":[6,25,94,99,112,124,161],"fundamental":[7],"problem":[8,36,85,180],"that":[9,42,71],"can":[10,28],"formalize":[11],"various":[12],"applications\r\n\r\nrelated":[13],"to":[14,38],"Artificial":[15],"Intelligence":[16],"problems.":[17,62],"Weighted":[19],"(WCSP)":[23],"CSP\r\n\r\nwhere":[26],"constraints":[27,147],"be":[29,73],"violated,":[30],"and":[31,76,97,106,148,156,175],"the":[32,48,84,142,150,170],"aim":[33],"of":[34,45,47,144,146,172],"this":[35,90],"find":[39],"an":[40,129,134],"assignment":[41],"minimizes":[43],"the\r\n\r\nsum":[44],"weights":[46,145],"violated":[49],"constraints.":[50],"Most":[51],"researches":[52],"have":[53],"focused":[54],"on":[55,111,141,166],"developing":[56,133],"algorithms":[57],"for":[58,136,159],"solv-\r\n\r\ning":[59],"static":[60],"mono-objective":[61],"However,":[63],"many":[64],"real":[65],"world":[66],"satisfaction/optimization":[67],"problems":[68],"involve\r\n\r\nmultiple":[69],"criteria":[70],"should":[72],"considered":[74],"separately":[75],"satisfied/optimized":[77],"simultaneously.":[78],"Additionally,\r\n\r\nthey":[79],"are":[80],"often":[81],"dynamic,":[82],"i.e.,":[83],"changes":[86],"at":[87],"runtime.":[88],"In":[89],"paper,":[91],"we":[92,121,139,168],"introduce":[93],"Multi-Objective\r\n\r\nWCSP":[95],"(MO-WCSP)":[96],"develop":[98,149],"novel":[100],"MO-WCSP":[101,126],"algorithm":[102,135,152,174],"called":[103,116,153],"Multi-Objective":[104],"Branch":[105,155],"Bound\r\n\r\n(MO-BnB),":[107],"which":[108,163],"based":[110,165],"new":[113],"solution":[114],"criterion":[115],"(l,":[117],"s)-Pareto":[118],"solution.":[119],"Furthermore,":[120],"first":[122,151],"for-\r\n\r\nmalize":[123],"Dynamic":[125],"(DMO-WCSP).":[127],"As":[128],"initial":[130],"step":[131],"forward":[132],"solving":[137,160],"a\r\n\r\nDMO-WCSP,":[138],"focus":[140],"change":[143],"Dynamic\r\n\r\nMulti-Objective":[154],"Bound":[157],"(DMO-BnB)":[158],"DMO-WCSPs,":[162],"MO-BnB.\r\n\r\nFinally,":[167],"provide":[169],"complexity":[171],"our":[173],"evaluate":[176],"DMO-BnB":[177],"with":[178],"different":[179],"settings.":[181]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}