{"id":"https://openalex.org/W1554391336","doi":"https://doi.org/10.1109/icsmc.2004.1401129","title":"Interactive timetabling system using knowledge-based genetic algorithms","display_name":"Interactive timetabling system using knowledge-based genetic algorithms","publication_year":2005,"publication_date":"2005-03-31","ids":{"openalex":"https://openalex.org/W1554391336","doi":"https://doi.org/10.1109/icsmc.2004.1401129","mag":"1554391336"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2004.1401129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1401129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5006041108","display_name":"Hitoshi Kanoh","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Kanoh","raw_affiliation_strings":["Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan","Graduate Sch. of Syst. & Information, Tsukuba Univ., Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Graduate Sch. of Syst. & Information, Tsukuba Univ., Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054014265","display_name":"Yuusuke Sakamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Sakamoto","raw_affiliation_strings":["Graduate School of Science and Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan","Graduate Sch. of Syst. & Information, Tsukuba Univ., Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Graduate Sch. of Syst. & Information, Tsukuba Univ., Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":0.8672,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.70749108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"5852","last_page":"5857"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9735999703407288,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9154000282287598,"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/computer-science","display_name":"Computer science","score":0.7471061944961548},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5997326374053955},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5967161655426025},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5898536443710327},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5883057713508606},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5787100195884705},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5691647529602051},{"id":"https://openalex.org/keywords/combinatorial-optimization","display_name":"Combinatorial optimization","score":0.4988231658935547},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.4695081412792206},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46469777822494507},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44927749037742615},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4467839300632477},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4419768750667572},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.42400646209716797},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3320937752723694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3027307987213135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2850295901298523},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2493269145488739},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14277726411819458},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09021580219268799}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7471061944961548},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5997326374053955},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5967161655426025},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5898536443710327},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5883057713508606},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5787100195884705},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5691647529602051},{"id":"https://openalex.org/C52692508","wikidata":"https://www.wikidata.org/wiki/Q1333872","display_name":"Combinatorial optimization","level":2,"score":0.4988231658935547},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.4695081412792206},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46469777822494507},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44927749037742615},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4467839300632477},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4419768750667572},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.42400646209716797},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3320937752723694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3027307987213135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2850295901298523},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2493269145488739},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14277726411819458},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09021580219268799},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icsmc.2004.1401129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1401129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.104.8819","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.104.8819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.kslab.cs.tsukuba.ac.jp/paper/kanoh_SMC2004.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W16292936","https://openalex.org/W1490782680","https://openalex.org/W1532406186","https://openalex.org/W1554437347","https://openalex.org/W1886554846","https://openalex.org/W1964581121","https://openalex.org/W1989397407","https://openalex.org/W2000686525","https://openalex.org/W2057379233","https://openalex.org/W2094905093","https://openalex.org/W2099942580","https://openalex.org/W2106390812","https://openalex.org/W2134909806","https://openalex.org/W2156897434","https://openalex.org/W2158991868","https://openalex.org/W2463709620","https://openalex.org/W4285719527","https://openalex.org/W6633127967","https://openalex.org/W6641255484","https://openalex.org/W6680148501"],"related_works":["https://openalex.org/W2475408106","https://openalex.org/W2553860513","https://openalex.org/W2086580554","https://openalex.org/W3045387744","https://openalex.org/W1986001501","https://openalex.org/W2087210802","https://openalex.org/W2116633399","https://openalex.org/W760312317","https://openalex.org/W2353740909","https://openalex.org/W2385621242"],"abstract_inverted_index":{"This":[0],"paper":[1],"discusses":[2],"a":[3,45,62,121],"new":[4],"solution":[5,28,101],"to":[6,14,21,59,67,120],"university":[7],"course":[8],"timetabling":[9],"problems.":[10,128],"Problems":[11],"that":[12,95,116],"belong":[13],"the":[15,52,69,82,110],"NP-hard":[16],"class":[17],"are":[18],"very":[19],"difficult":[20],"solve":[22,68],"using":[23,88],"conventional":[24],"optimization":[25,127],"techniques.":[26],"Our":[27],"methodology":[29],"is":[30,44,58,98],"based":[31],"on":[32],"genetic":[33],"algorithms":[34],"which":[35],"use":[36,60,111],"an":[37,99],"installed":[38],"knowledge":[39,42,63,115],"base.":[40],"The":[41,55,72,103],"here":[43],"set":[46],"of":[47,51,84,90,92,112,123],"candidate":[48],"partial":[49],"solutions":[50],"final":[53],"solution.":[54],"proposed":[56,104],"method":[57,105],"both":[61],"base":[64],"and":[65,80],"constraints":[66],"problems":[70],"efficiently.":[71],"timetables":[73,89],"obtained":[74],"can":[75,117],"satisfy":[76],"teachers'":[77],"personal":[78],"requests":[79],"present":[81],"advantages":[83],"past":[85],"timetables.":[86],"Experiments":[87],"University":[91],"Tsukuba":[93],"showed":[94],"this":[96],"approach":[97],"effective":[100],"method.":[102],"includes":[106],"general":[107],"techniques":[108],"concerning":[109],"domain":[113],"specific":[114],"be":[118],"applied":[119],"variety":[122],"large-scale":[124],"real-life":[125],"combinatorial":[126]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
