乐胖代购免代理版

{"id":"https://openalex.org/W2129574464","doi":"https://doi.org/10.1109/dmo.2009.5341899","title":"Examination timetabling using scatter search hyper-heuristic","display_name":"Examination timetabling using scatter search hyper-heuristic","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2129574464","doi":"https://doi.org/10.1109/dmo.2009.5341899","mag":"2129574464"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/dmo.2009.5341899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5050621611","display_name":"Nasser R. Sabar","orcid":"https://orcid.org/0000-0002-0276-4704"},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nasser R. Sabar","raw_affiliation_strings":["Data Mining and Optimisation Research Group (DMO), Center for Artificial Intelligence Technology (CAIT), Universiti Kebangsaan Malaysia, 43600 UKM, Bangi Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Data Mining and Optimisation Research Group (DMO), Center for Artificial Intelligence Technology (CAIT), Universiti Kebangsaan Malaysia, 43600 UKM, Bangi Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011296289","display_name":"Masri Ayob","orcid":"https://orcid.org/0000-0002-5157-7921"},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Masri Ayob","raw_affiliation_strings":["Data Mining and Optimisation Research Group (DMO), Center for Artificial Intelligence Technology (CAIT), Universiti Kebangsaan Malaysia, 43600 UKM, Bangi Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Data Mining and Optimisation Research Group (DMO), Center for Artificial Intelligence Technology (CAIT), Universiti Kebangsaan Malaysia, 43600 UKM, Bangi Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.612,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":22,"citation_normalized_percentile":{"value":0.935182,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":90},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"131"},"is_retracted":false,"is_paratext":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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9246,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.86850786},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.78866774},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7288165},{"id":"https://openalex.org/keywords/hyper-heuristic","display_name":"Hyper-heuristic","score":0.7033517},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.46474665}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.86850786},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.78866774},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.7408503},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7288165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7068238},{"id":"https://openalex.org/C117270229","wikidata":"https://www.wikidata.org/wiki/Q5957539","display_name":"Hyper-heuristic","level":5,"score":0.7033517},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.46474665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4420559},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4225265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.414254},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39910015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19288415},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/dmo.2009.5341899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.66,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":16,"referenced_works":["https://openalex.org/W1492428403","https://openalex.org/W1535988328","https://openalex.org/W16292936","https://openalex.org/W1668207500","https://openalex.org/W197551278","https://openalex.org/W1983052335","https://openalex.org/W2011653811","https://openalex.org/W2014856631","https://openalex.org/W2031012845","https://openalex.org/W207226807","https://openalex.org/W2086726443","https://openalex.org/W2092856865","https://openalex.org/W2161393961","https://openalex.org/W2164855953","https://openalex.org/W4248677208","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4281642025","https://openalex.org/W3186374002","https://openalex.org/W2526745971","https://openalex.org/W2524716476","https://openalex.org/W2521454154","https://openalex.org/W2114226318","https://openalex.org/W2109775141","https://openalex.org/W1984248482","https://openalex.org/W1628567638","https://openalex.org/W1539768633"],"abstract_inverted_index":{"Hyper-heuristic":[0],"can":[1,22],"be":[2],"defined":[3],"as":[4],"a":[5,29,53,62,70],"ldquoheuristics":[6],"to":[7,12,59,101,107],"choose":[8],"heuristicsrdquo":[9],"that":[10],"intends":[11],"increase":[13],"the":[14,80,88],"level":[15,47,57,67],"of":[16,48,55,93],"generality":[17],"in":[18],"which":[19,50,98],"optimization":[20],"methodologies":[21],"operate.":[23],"In":[24],"this":[25],"work,":[26],"we":[27],"propose":[28],"scatter":[30,42],"search":[31,43],"based":[32],"hyper-heuristic":[33],"(SS-HH)":[34],"approach":[35,78],"for":[36,61],"solving":[37],"examination":[38],"timetabling":[39],"problems.":[40],"The":[41],"operates":[44],"at":[45],"high":[46],"abstraction":[49],"intelligently":[51],"evolves":[52],"sequence":[54],"low":[56,66],"heuristics":[58],"use":[60],"given":[63],"problem.":[64],"Each":[65],"heuristic":[68],"represents":[69],"single":[71],"neighborhood":[72],"structure.":[73],"We":[74],"test":[75],"our":[76],"proposed":[77,89],"on":[79],"un-capacitated":[81],"Carter":[82,108],"benchmarks":[83],"datasets.":[84],"Experimental":[85],"results":[86],"show":[87],"SS-HH":[90],"is":[91],"capable":[92],"producing":[94],"good":[95],"quality":[96],"solutions":[97],"are":[99],"comparable":[100],"other":[102],"hyper-heuristics":[103],"approaches":[104],"(with":[105],"regarding":[106],"benchmark":[109],"datasets).":[110]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2129574464","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-01-18T13:10:24.212192","created_date":"2016-06-24"}