{"id":"https://openalex.org/W4285734687","doi":"https://doi.org/10.1145/3512290.3528756","title":"What makes the dynamic capacitated Arc routing problem hard to solve","display_name":"What makes the dynamic capacitated Arc routing problem hard to solve","publication_year":2022,"publication_date":"2022-07-08","ids":{"openalex":"https://openalex.org/W4285734687","doi":"https://doi.org/10.1145/3512290.3528756"},"language":"en","primary_location":{"id":"doi:10.1145/3512290.3528756","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3512290.3528756","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3512290.3528756","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3512290.3528756","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101643996","display_name":"Hao Tong","orcid":"https://orcid.org/0000-0003-4881-8701"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Hao Tong","raw_affiliation_strings":["University of Birmingham, Birmingham, UK"],"affiliations":[{"raw_affiliation_string":"University of Birmingham, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064089961","display_name":"Leandro L. Minku","orcid":"https://orcid.org/0000-0002-2639-0671"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Leandro L. Minku","raw_affiliation_strings":["University of Birmingham, Birmingham, UK"],"affiliations":[{"raw_affiliation_string":"University of Birmingham, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012167116","display_name":"Stefan Menzel","orcid":"https://orcid.org/0000-0001-7594-2308"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Menzel","raw_affiliation_strings":["Honda Research Institute Europe, Offenbach, Germany"],"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe, Offenbach, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066418464","display_name":"Bernhard Sendhoff","orcid":"https://orcid.org/0000-0002-1233-9584"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernhard Sendhoff","raw_affiliation_strings":["Honda Research Institute Europe, Offenbach, Germany"],"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe, Offenbach, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635494","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0001-8837-4442"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yao","raw_affiliation_strings":["SUSTech, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"SUSTech, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101643996"],"corresponding_institution_ids":["https://openalex.org/I79619799"],"apc_list":null,"apc_paid":null,"fwci":1.387,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77531974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"305","last_page":"313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9990000128746033,"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":0.9990000128746033,"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/T12176","display_name":"Optimization and Packing Problems","score":0.9563999772071838,"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/T11223","display_name":"Maritime Ports and Logistics","score":0.9433000087738037,"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/arc-routing","display_name":"Arc routing","score":0.8332823514938354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.810762345790863},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5930420160293579},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4809955060482025},{"id":"https://openalex.org/keywords/fitness-landscape","display_name":"Fitness landscape","score":0.4768715500831604},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4539298117160797},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.4504953622817993},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.42084643244743347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2919257879257202},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24052661657333374}],"concepts":[{"id":"https://openalex.org/C2778536092","wikidata":"https://www.wikidata.org/wiki/Q4785038","display_name":"Arc routing","level":3,"score":0.8332823514938354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.810762345790863},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5930420160293579},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4809955060482025},{"id":"https://openalex.org/C91852762","wikidata":"https://www.wikidata.org/wiki/Q3307742","display_name":"Fitness landscape","level":3,"score":0.4768715500831604},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4539298117160797},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4504953622817993},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.42084643244743347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2919257879257202},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24052661657333374},{"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3512290.3528756","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3512290.3528756","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3512290.3528756","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/148b7bdc-d9b8-46ff-aa92-cf15f2f39e25","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/148b7bdc-d9b8-46ff-aa92-cf15f2f39e25","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Tong, H, Minku, L, Menzel, S, Senhoff, B & Yao, X 2022, What makes the dynamic capacitated arc routing problem hard to solve : insights from fitness landscape analysis. in J E Fieldsend (ed.), GECCO '22 : Proceedings of the Genetic and Evolutionary Computation Conference. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), New York, pp. 305-313, GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, United States, 9/07/22. https://doi.org/10.1145/3512290.3528756","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"doi:10.1145/3512290.3528756","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3512290.3528756","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3512290.3528756","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285734687.pdf","grobid_xml":"https://content.openalex.org/works/W4285734687.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W583372864","https://openalex.org/W1567341516","https://openalex.org/W1933385826","https://openalex.org/W1989456306","https://openalex.org/W2044400415","https://openalex.org/W2048262781","https://openalex.org/W2079505110","https://openalex.org/W2137246147","https://openalex.org/W2155262811","https://openalex.org/W2161032864","https://openalex.org/W2538943139","https://openalex.org/W2746033960","https://openalex.org/W2810048815","https://openalex.org/W3088533440","https://openalex.org/W3123511746","https://openalex.org/W3178346411"],"related_works":["https://openalex.org/W2375590343","https://openalex.org/W1505050614","https://openalex.org/W2048639071","https://openalex.org/W1558578601","https://openalex.org/W2349780065","https://openalex.org/W1986775719","https://openalex.org/W1990701788","https://openalex.org/W2126141749","https://openalex.org/W2005958591","https://openalex.org/W2355215981"],"abstract_inverted_index":{"The":[0],"Capacitated":[1],"Arc":[2],"Routing":[3],"Problem":[4],"(CARP)":[5],"aims":[6],"at":[7,16],"assigning":[8],"vehicles":[9,167],"to":[10,41,48,73,168,175],"serve":[11,169],"tasks":[12,172],"which":[13,46,65,163],"are":[14,27,173],"located":[15],"different":[17,31,87,135],"arcs":[18],"in":[19,57,76],"a":[20,58,102,112,120],"graph.":[21],"However,":[22,61],"the":[23,84,94,127,143,156,170,183,188,195],"originally":[24],"planned":[25],"routes":[26],"easily":[28],"affected":[29],"by":[30],"dynamic":[32,66,88,123],"events":[33,67,89,124,150],"like":[34],"newly":[35],"added":[36],"tasks.":[37],"This":[38],"gives":[39],"rise":[40],"Dynamic":[42],"CARP":[43],"(DCARP)":[44],"instances,":[45,160],"need":[47],"be":[49],"efficiently":[50],"optimized":[51],"for":[52,190],"new":[53,166],"high-quality":[54],"service":[55],"plans":[56],"short":[59],"time.":[60],"it":[62],"is":[63],"unknown":[64],"make":[68],"DCARP":[69,91,116,159,184,198],"instances":[70,92,117,132,162,185],"especially":[71],"hard":[72],"solve.":[74,176],"Therefore,":[75],"this":[77],"paper,":[78],"we":[79,146],"provide":[80],"an":[81],"investigation":[82],"of":[83,86,96,115,122,130,158,182,197],"influence":[85],"on":[90,101,119,155,193],"from":[93],"perspective":[95],"fitness":[97,128,139],"landscape":[98,129],"analysis":[99],"based":[100,118],"recently":[103],"proposed":[104],"hybrid":[105],"local":[106],"search":[107],"(HyLS)":[108],"algorithm.":[109],"We":[110],"generate":[111],"large":[113],"set":[114],"variety":[121],"and":[125,186],"analyze":[126],"these":[131],"using":[133],"several":[134],"measures":[136],"such":[137],"as":[138],"correlation":[140],"length.":[141],"From":[142],"empirical":[144],"results":[145],"conclude":[147],"that":[148],"cost-related":[149],"have":[151],"no":[152],"significant":[153],"impact":[154],"difficulty":[157],"but":[161],"require":[164],"more":[165],"remaining":[171],"harder":[174],"These":[177],"insights":[178],"improve":[179],"our":[180],"understanding":[181],"pave":[187],"way":[189],"future":[191],"work":[192],"improving":[194],"performance":[196],"algorithms.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"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"}
