{"id":"https://openalex.org/W2145755764","doi":"https://doi.org/10.1051/ro:2006018","title":"Combining constraint Propagation and meta-heuristics for searching a Maximum Weight Hamiltonian Chain","display_name":"Combining constraint Propagation and meta-heuristics for searching a Maximum Weight Hamiltonian Chain","publication_year":2006,"publication_date":"2006-04-01","ids":{"openalex":"https://openalex.org/W2145755764","doi":"https://doi.org/10.1051/ro:2006018","mag":"2145755764"},"language":"en","primary_location":{"id":"doi:10.1051/ro:2006018","is_oa":false,"landing_page_url":"http://doi.org/10.1051/ro:2006018","pdf_url":null,"source":{"id":"https://openalex.org/S20631277","display_name":"RAIRO - Operations Research","issn_l":"0399-0559","issn":["0399-0559","1290-3868"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748"],"host_organization_lineage_names":["EDP Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.numdam.org/item/10.1051/ro:2006018.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022238257","display_name":"Yves Caseau","orcid":null},"institutions":[{"id":"https://openalex.org/I280199911","display_name":"Bouygues (France)","ror":"https://ror.org/056185y51","country_code":"FR","type":"company","lineage":["https://openalex.org/I280199911"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Yves Caseau","raw_affiliation_strings":["Bouygues e-Lab, 1 avenue Eug\u00e8ne Freyssinet, 78061 St-Quentin en Yvelines Cedex, France"],"affiliations":[{"raw_affiliation_string":"Bouygues e-Lab, 1 avenue Eug\u00e8ne Freyssinet, 78061 St-Quentin en Yvelines Cedex, France","institution_ids":["https://openalex.org/I280199911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022238257"],"corresponding_institution_ids":["https://openalex.org/I280199911"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.20429348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"2","first_page":"77","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9987999796867371,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9987999796867371,"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":0.9987999796867371,"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/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.9983999729156494,"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/heuristics","display_name":"Heuristics","score":0.7959377765655518},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6421973705291748},{"id":"https://openalex.org/keywords/chain","display_name":"Chain (unit)","score":0.5433940887451172},{"id":"https://openalex.org/keywords/hamiltonian","display_name":"Hamiltonian (control theory)","score":0.4974561035633087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46704593300819397},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43560701608657837},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4042956829071045},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34188586473464966},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16827592253684998},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07344222068786621},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.07298964262008667}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7959377765655518},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6421973705291748},{"id":"https://openalex.org/C199185054","wikidata":"https://www.wikidata.org/wiki/Q552299","display_name":"Chain (unit)","level":2,"score":0.5433940887451172},{"id":"https://openalex.org/C130787639","wikidata":"https://www.wikidata.org/wiki/Q5645293","display_name":"Hamiltonian (control theory)","level":2,"score":0.4974561035633087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46704593300819397},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43560701608657837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4042956829071045},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34188586473464966},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16827592253684998},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07344222068786621},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.07298964262008667}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1051/ro:2006018","is_oa":false,"landing_page_url":"http://doi.org/10.1051/ro:2006018","pdf_url":null,"source":{"id":"https://openalex.org/S20631277","display_name":"RAIRO - Operations Research","issn_l":"0399-0559","issn":["0399-0559","1290-3868"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748"],"host_organization_lineage_names":["EDP Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},{"id":"pmh:oai:numdam.org:RO_2006__40_2_77_0","is_oa":true,"landing_page_url":"http://www.numdam.org/articles/10.1051/ro:2006018/","pdf_url":"https://www.numdam.org/item/10.1051/ro:2006018.pdf","source":{"id":"https://openalex.org/S4306402264","display_name":"French digital mathematics library (Numdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I70900168","host_organization_name":"Universit\u00e9 Savoie Mont Blanc","host_organization_lineage":["https://openalex.org/I70900168"],"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":"Text"}],"best_oa_location":{"id":"pmh:oai:numdam.org:RO_2006__40_2_77_0","is_oa":true,"landing_page_url":"http://www.numdam.org/articles/10.1051/ro:2006018/","pdf_url":"https://www.numdam.org/item/10.1051/ro:2006018.pdf","source":{"id":"https://openalex.org/S4306402264","display_name":"French digital mathematics library (Numdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I70900168","host_organization_name":"Universit\u00e9 Savoie Mont Blanc","host_organization_lineage":["https://openalex.org/I70900168"],"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":"Text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2145755764.pdf","grobid_xml":"https://content.openalex.org/works/W2145755764.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W106605499","https://openalex.org/W109225361","https://openalex.org/W1495011881","https://openalex.org/W1554727768","https://openalex.org/W1799542866","https://openalex.org/W1843459482","https://openalex.org/W1972778100","https://openalex.org/W2071306171","https://openalex.org/W2084977713","https://openalex.org/W2177173668","https://openalex.org/W2327696470"],"related_works":["https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W3121175838","https://openalex.org/W3016293053","https://openalex.org/W2401723157","https://openalex.org/W2952904874","https://openalex.org/W4297690216","https://openalex.org/W3082873728","https://openalex.org/W2888417931"],"abstract_inverted_index":{"This":[0,15,49,87],"paper":[1,50],"presents":[2],"the":[3,10,28,31,77,98,117],"approach":[4,99],"that":[5,37,55,93,120],"we":[6],"developed":[7],"to":[8,26],"solve":[9],"ROADEF":[11],"2003":[12],"challenge":[13],"problem.":[14],"work":[16],"is":[17,25,89,121],"part":[18],"of":[19,34,79,91,100,129],"a":[20,69,110,126],"research":[21],"program":[22],"whose":[23],"aim":[24],"study":[27],"benefits":[29],"and":[30,41,76,81,133],"computer-aided":[32],"generation":[33],"hybrid":[35,118],"solutions":[36],"mix":[38],"constraint":[39,124],"programming":[40],"meta-heuristics,":[42],"such":[43],"as":[44],"large":[45,134],"neighborhood":[46,135],"search":[47,75,132],"(LNS).":[48],"focuses":[51],"on":[52],"three":[53],"contributions":[54],"were":[56],"obtained":[57],"during":[58],"this":[59,115],"project:":[60],"an":[61],"improved":[62],"method":[63],"for":[64],"propagating":[65],"Hamiltonian":[66],"chain":[67],"constraints,":[68],"fresh":[70],"look":[71],"at":[72],"limited":[73,130],"discrepancy":[74,131],"introduction":[78],"randomization":[80],"de-randomization":[82],"within":[83],"our":[84],"combination":[85,119],"algebra.":[86],"algebra":[88],"made":[90],"terms":[92],"represent":[94],"optimization":[95],"algorithms,":[96],"following":[97],"SALSA[1],":[101],"which":[102],"can":[103],"be":[104],"generated":[105],"or":[106],"tuned":[107],"automatically":[108],"using":[109],"learning":[111],"meta-strategy":[112],"[2].":[113],"In":[114],"paper,":[116],"investigated":[122],"mixes":[123],"propagation,":[125],"special":[127],"form":[128],"search.":[136]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
