{"id":"https://openalex.org/W2947024320","doi":"https://doi.org/10.1080/0952813x.2019.1620869","title":"Towards effective resolution approaches for solving the sum coloring problem","display_name":"Towards effective resolution approaches for solving the sum coloring problem","publication_year":2019,"publication_date":"2019-05-30","ids":{"openalex":"https://openalex.org/W2947024320","doi":"https://doi.org/10.1080/0952813x.2019.1620869","mag":"2947024320"},"language":"en","primary_location":{"id":"doi:10.1080/0952813x.2019.1620869","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0952813x.2019.1620869","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"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":"Journal of Experimental & Theoretical Artificial Intelligence","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/A5103198085","display_name":"Olfa Harrabi","orcid":"https://orcid.org/0000-0002-8176-0698"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Olfa Harrabi","raw_affiliation_strings":["Higher Institute of Management of Tunis, Tunis University, Bardo, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Higher Institute of Management of Tunis, Tunis University, Bardo, Tunisia","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056890791","display_name":"Jouhaina Chaouachi","orcid":null},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Jouhaina Chaouachi","raw_affiliation_strings":["Institute of Advanced Business Studies of Carthage, Carthage University, Tunis, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Advanced Business Studies of Carthage, Carthage University, Tunis, Tunisia","institution_ids":["https://openalex.org/I179097149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103198085"],"corresponding_institution_ids":["https://openalex.org/I108714496"],"apc_list":null,"apc_paid":null,"fwci":0.6173,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72483437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"32","issue":"1","first_page":"31","last_page":"57"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","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/T12401","display_name":"Scheduling and Timetabling Solutions","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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9952999949455261,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/computer-science","display_name":"Computer science","score":0.8573851585388184},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7018958926200867},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.6263549327850342},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6205841302871704},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6010119318962097},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5994210243225098},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5571686625480652},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4959646165370941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28731632232666016},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2529572546482086},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10308787226676941}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8573851585388184},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7018958926200867},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.6263549327850342},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6205841302871704},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6010119318962097},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5994210243225098},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5571686625480652},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4959646165370941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28731632232666016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2529572546482086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10308787226676941},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/0952813x.2019.1620869","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0952813x.2019.1620869","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"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":"Journal of Experimental & Theoretical Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W69005189","https://openalex.org/W72149963","https://openalex.org/W843637839","https://openalex.org/W1511493290","https://openalex.org/W1531298970","https://openalex.org/W1539694548","https://openalex.org/W1551184788","https://openalex.org/W1553010236","https://openalex.org/W1567738939","https://openalex.org/W1577506768","https://openalex.org/W1597040429","https://openalex.org/W1668207500","https://openalex.org/W1814515812","https://openalex.org/W1885547793","https://openalex.org/W1963659584","https://openalex.org/W1977997977","https://openalex.org/W1978007997","https://openalex.org/W1980672031","https://openalex.org/W1983136120","https://openalex.org/W1984198677","https://openalex.org/W1989380511","https://openalex.org/W2004802557","https://openalex.org/W2007351764","https://openalex.org/W2012491806","https://openalex.org/W2013946649","https://openalex.org/W2019683022","https://openalex.org/W2024060531","https://openalex.org/W2024687640","https://openalex.org/W2026289804","https://openalex.org/W2041526935","https://openalex.org/W2045790678","https://openalex.org/W2048790889","https://openalex.org/W2055511722","https://openalex.org/W2056760934","https://openalex.org/W2069558672","https://openalex.org/W2070784012","https://openalex.org/W2071324240","https://openalex.org/W2072441740","https://openalex.org/W2073818615","https://openalex.org/W2076492994","https://openalex.org/W2077074612","https://openalex.org/W2084185560","https://openalex.org/W2091570807","https://openalex.org/W2115012908","https://openalex.org/W2120018826","https://openalex.org/W2140759234","https://openalex.org/W2145102334","https://openalex.org/W2153638045","https://openalex.org/W2154965609","https://openalex.org/W2163392119","https://openalex.org/W2167036627","https://openalex.org/W2169235385","https://openalex.org/W2189595408","https://openalex.org/W2289330054","https://openalex.org/W2735407441","https://openalex.org/W2789976508","https://openalex.org/W2883906412","https://openalex.org/W3121748795","https://openalex.org/W3122168144","https://openalex.org/W3126989843","https://openalex.org/W4210300254","https://openalex.org/W6753386556"],"related_works":["https://openalex.org/W3006241023","https://openalex.org/W2106556139","https://openalex.org/W2236369119","https://openalex.org/W2257481153","https://openalex.org/W2207002589","https://openalex.org/W2146203544","https://openalex.org/W1985012061","https://openalex.org/W4307685729","https://openalex.org/W2104162970","https://openalex.org/W2248968300"],"abstract_inverted_index":{"The":[0],"paper":[1],"sheds":[2],"light":[3],"on":[4,48,76,87],"the":[5,30],"sum":[6],"coloring":[7],"of":[8,14,70,79],"graphs":[9],"which":[10],"has":[11],"a":[12,40,77],"wealth":[13],"pertinence":[15],"to":[16,51,84],"several":[17],"applications":[18],"in":[19],"scheduling":[20],"and":[21,91],"resource":[22],"allocation.":[23],"Throughout":[24],"this":[25],"work,":[26],"we":[27,38],"investigate":[28],"solving":[29],"problem":[31],"using":[32],"three":[33],"new":[34,61],"mathematical":[35],"formulations.":[36],"Moreover,":[37],"integrate":[39],"general":[41],"modelling":[42],"methodology,":[43],"namely,":[44],"hyper-heuristic":[45,73],"approach":[46],"based":[47,75],"different":[49],"metaheuristics":[50],"effectively":[52],"get":[53],"tight":[54],"upper":[55],"bounds.":[56],"Comprehensive":[57],"empirical":[58],"study":[59],"reports":[60],"exact":[62],"solutions":[63],"for":[64],"some":[65],"tested":[66],"instances.":[67],"Computational":[68],"performance":[69],"our":[71],"proposed":[72],"approach,":[74],"set":[78],"benchmark":[80],"instances,":[81],"turned":[82],"out":[83],"be":[85],"effective":[86],"both":[88],"computation":[89],"time":[90],"solution":[92],"quality.":[93]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}