{"id":"https://openalex.org/W2143095460","doi":"https://doi.org/10.1145/1569901.1569949","title":"Analyzing the landscape of a graph based hyper-heuristic for timetabling problems","display_name":"Analyzing the landscape of a graph based hyper-heuristic for timetabling problems","publication_year":2009,"publication_date":"2009-07-08","ids":{"openalex":"https://openalex.org/W2143095460","doi":"https://doi.org/10.1145/1569901.1569949","mag":"2143095460"},"language":"en","primary_location":{"id":"doi:10.1145/1569901.1569949","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1569901.1569949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Annual conference on Genetic and evolutionary computation","raw_type":"proceedings-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/A5090624529","display_name":"Gabriela Ochoa","orcid":"https://orcid.org/0000-0001-7649-5669"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Gabriela Ochoa","raw_affiliation_strings":["University of Nottingham, Nottingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Nottingham, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063920690","display_name":"Rong Qu","orcid":"https://orcid.org/0000-0001-8318-7509"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rong Qu","raw_affiliation_strings":["University of Nottingham, Nottingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Nottingham, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004567468","display_name":"Edmund Burke","orcid":"https://orcid.org/0000-0003-0712-4762"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Edmund K. Burke","raw_affiliation_strings":["University of Nottingham, Nottingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Nottingham, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090624529"],"corresponding_institution_ids":["https://openalex.org/I142263535"],"apc_list":null,"apc_paid":null,"fwci":3.6155,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.9303186,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"341","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","score":1.0,"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":1.0,"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":0.9980999827384949,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9887999892234802,"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/heuristics","display_name":"Heuristics","score":0.9145057201385498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6337680220603943},{"id":"https://openalex.org/keywords/constructive","display_name":"Constructive","score":0.5992632508277893},{"id":"https://openalex.org/keywords/hyper-heuristic","display_name":"Hyper-heuristic","score":0.511363685131073},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.496982604265213},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.47372952103614807},{"id":"https://openalex.org/keywords/fitness-landscape","display_name":"Fitness landscape","score":0.4415304958820343},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4356152415275574},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.43310320377349854},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4178524911403656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38821274042129517},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26854410767555237},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09057855606079102}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.9145057201385498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6337680220603943},{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.5992632508277893},{"id":"https://openalex.org/C117270229","wikidata":"https://www.wikidata.org/wiki/Q5957539","display_name":"Hyper-heuristic","level":5,"score":0.511363685131073},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.496982604265213},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.47372952103614807},{"id":"https://openalex.org/C91852762","wikidata":"https://www.wikidata.org/wiki/Q3307742","display_name":"Fitness landscape","level":3,"score":0.4415304958820343},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4356152415275574},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43310320377349854},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4178524911403656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38821274042129517},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26854410767555237},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09057855606079102},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1569901.1569949","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1569901.1569949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.stir.ac.uk:1893/15710","is_oa":false,"landing_page_url":"http://dl.acm.org/citation.cfm?id=1569949&CFID=230982929&CFTOKEN=65117036","pdf_url":null,"source":{"id":"https://openalex.org/S4306400268","display_name":"Stirling Online Research Repository (University of Stirling)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I12093191","host_organization_name":"University of Stirling","host_organization_lineage":["https://openalex.org/I12093191"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5147293183","display_name":null,"funder_award_id":"EP/D061571/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W16292936","https://openalex.org/W77512158","https://openalex.org/W1527172735","https://openalex.org/W1567102157","https://openalex.org/W1574885323","https://openalex.org/W1591939288","https://openalex.org/W1601081952","https://openalex.org/W1616786285","https://openalex.org/W1668207500","https://openalex.org/W1987220363","https://openalex.org/W1995123252","https://openalex.org/W2014856631","https://openalex.org/W2039906176","https://openalex.org/W2056956492","https://openalex.org/W2073826583","https://openalex.org/W2075342830","https://openalex.org/W2086726443","https://openalex.org/W2092856865","https://openalex.org/W2109101401","https://openalex.org/W2116712480","https://openalex.org/W2161393961","https://openalex.org/W2166843422","https://openalex.org/W2166952553","https://openalex.org/W2267333910","https://openalex.org/W2913205451","https://openalex.org/W3121811447","https://openalex.org/W4285719527","https://openalex.org/W6602178149"],"related_works":["https://openalex.org/W3177062893","https://openalex.org/W3125143773","https://openalex.org/W803550684","https://openalex.org/W2483226803","https://openalex.org/W3143937874","https://openalex.org/W2007032764","https://openalex.org/W2115618655","https://openalex.org/W2513360157","https://openalex.org/W2067280619","https://openalex.org/W4251343851"],"abstract_inverted_index":{"Hyper-heuristics":[0],"can":[1],"be":[2,161],"thought":[3],"of":[4,34,44,53,75,94,100,116,132,145,184],"as":[5],"\"heuristics":[6],"to":[7,60],"choose":[8],"heuristics\".":[9],"They":[10],"are":[11,64],"concerned":[12],"with":[13],"adaptively":[14],"finding":[15],"solution":[16,23,158],"methods,":[17],"rather":[18,46],"than":[19,47,68],"directly":[20,48],"producing":[21],"a":[22,41,50,82,105,109,129,146],"for":[24,120],"the":[25,73,92,98,142,182],"particular":[26],"problem":[27,54],"at":[28],"hand.":[29],"Hence,":[30],"an":[31,156],"important":[32],"feature":[33,144],"hyper-heuristics":[35],"is":[36,59,69,80],"that":[37,125,155,171,175],"they":[38,140],"operate":[39],"on":[40,49,108],"search":[42,51,78,111,173],"space":[43,52,112],"heuristics":[45,119],"solutions.":[55],"A":[56],"motivating":[57],"aim":[58],"build":[61],"systems":[62],"which":[63,153],"fundamentally":[65],"more":[66],"generic":[67],"possible":[70],"today.":[71],"Understanding":[72],"structure":[74],"these":[76,126,178],"heuristic":[77,110],"spaces":[79],"therefore,":[81],"research":[83],"direction":[84],"worth":[85],"exploring.":[86],"In":[87],"this":[88],"paper,":[89],"we":[90],"use":[91],"notion":[93],"fitness":[95],"landscapes":[96,127],"in":[97],"context":[99],"constructive":[101,185],"hyper-heuristics.":[102,186],"We":[103,169],"conduct":[104],"landscape":[106],"analysis":[107],"conformed":[113],"by":[114,165],"sequences":[115],"graph":[117],"coloring":[118],"timetabling.":[121],"Our":[122],"study":[123],"reveals":[124],"have":[128,141],"high":[130],"level":[131],"neutrality":[133],"and":[134],"positional":[135],"bias.":[136],"Furthermore,":[137],"although":[138],"rugged,":[139],"encouraging":[143],"globally":[147],"convex":[148],"or":[149],"big":[150],"valley":[151],"structure,":[152],"indicates":[154],"optimal":[157],"would":[159],"not":[160],"isolated":[162],"but":[163],"surrounded":[164],"many":[166],"local":[167],"minima.":[168],"suggest":[170],"using":[172],"methodologies":[174],"explicitly":[176],"exploit":[177],"features":[179],"may":[180],"enhance":[181],"performance":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
