{"id":"https://openalex.org/W2105809971","doi":"https://doi.org/10.1109/dmo.2009.5341900","title":"Hybridization Multi-NeighbourhoodParticle Collision Algorithm and Great Deluge for solving course timetabling problems","display_name":"Hybridization Multi-NeighbourhoodParticle Collision Algorithm and Great Deluge for solving course timetabling problems","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2105809971","doi":"https://doi.org/10.1109/dmo.2009.5341900","mag":"2105809971"},"language":"en","primary_location":{"id":"doi:10.1109/dmo.2009.5341900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dmo.2009.5341900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 2nd Conference on Data Mining and Optimization","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/A5068760252","display_name":"Anmar Abuhamdah","orcid":"https://orcid.org/0000-0003-3496-6711"},"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":"Anmar Abuhamdah","raw_affiliation_strings":["Data Mining & Optimization Group (DMO), Centre of Artificial Intelligence Technology (CAIT) Computer Science Department, Universiti Kebangsaan Malaysia, Malaysia","Data Mining & Optimization Group (DMO), Centre of Artificial Intelligence Technology (CAIT), Computer Science Department, University Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Mining & Optimization Group (DMO), Centre of Artificial Intelligence Technology (CAIT) Computer Science Department, Universiti Kebangsaan Malaysia, Malaysia","institution_ids":["https://openalex.org/I885383172"]},{"raw_affiliation_string":"Data Mining & Optimization Group (DMO), Centre of Artificial Intelligence Technology (CAIT), Computer Science Department, University 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 & Optimization Group (DMO), Centre of Artificial Intelligence Technology (CAIT) Computer Science Department, Universiti Kebangsaan Malaysia, Malaysia","Data Mining & Optimization Group (DMO), Centre of Artificial Intelligence Technology (CAIT), Computer Science Department, University Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Mining & Optimization Group (DMO), Centre of Artificial Intelligence Technology (CAIT) Computer Science Department, Universiti Kebangsaan Malaysia, Malaysia","institution_ids":["https://openalex.org/I885383172"]},{"raw_affiliation_string":"Data Mining & Optimization Group (DMO), Centre of Artificial Intelligence Technology (CAIT), Computer Science Department, University Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4988,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8964859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"108","last_page":"114"},"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9352999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.932699978351593,"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/simulated-annealing","display_name":"Simulated annealing","score":0.6571167707443237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6387712359428406},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5831699371337891},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.5279509425163269},{"id":"https://openalex.org/keywords/neighbourhood","display_name":"Neighbourhood (mathematics)","score":0.5249181389808655},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40017464756965637},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2306089699268341}],"concepts":[{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6571167707443237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6387712359428406},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5831699371337891},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.5279509425163269},{"id":"https://openalex.org/C161677786","wikidata":"https://www.wikidata.org/wiki/Q2478475","display_name":"Neighbourhood (mathematics)","level":2,"score":0.5249181389808655},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40017464756965637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2306089699268341},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dmo.2009.5341900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dmo.2009.5341900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 2nd Conference on Data Mining and Optimization","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8199999928474426,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W62280645","https://openalex.org/W1489881420","https://openalex.org/W1512847430","https://openalex.org/W1542447043","https://openalex.org/W1553244859","https://openalex.org/W1577845686","https://openalex.org/W1792875263","https://openalex.org/W1966942146","https://openalex.org/W1975473038","https://openalex.org/W2003160050","https://openalex.org/W2032876227","https://openalex.org/W2033930346","https://openalex.org/W2034282101","https://openalex.org/W2043926068","https://openalex.org/W2076259622","https://openalex.org/W2086726443","https://openalex.org/W2087215158","https://openalex.org/W2099942580","https://openalex.org/W2108375259","https://openalex.org/W2109964130","https://openalex.org/W2113836425","https://openalex.org/W2114388796","https://openalex.org/W2138144419","https://openalex.org/W2152512538","https://openalex.org/W2198693942","https://openalex.org/W2490780778","https://openalex.org/W2552712687","https://openalex.org/W4285719527","https://openalex.org/W6629956140","https://openalex.org/W6632316560","https://openalex.org/W6723318092"],"related_works":["https://openalex.org/W4393363920","https://openalex.org/W2051487156","https://openalex.org/W4248744973","https://openalex.org/W2073681303","https://openalex.org/W4383700488","https://openalex.org/W4287780535","https://openalex.org/W3037015124","https://openalex.org/W3021699323","https://openalex.org/W1969064169","https://openalex.org/W4327850430"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,24,32,41,50,129,230],"Particle":[4,105],"Collision":[5,106],"Algorithm":[6,107],"(PCA)":[7],"to":[8,17,31,40,201,223],"solve":[9],"university":[10],"course":[11],"timetabling":[12],"problems.":[13],"The":[14,45,54,102],"aim":[15],"is":[16,57,95,118,154,190,221],"produce":[18,224],"an":[19],"effective":[20],"algorithm":[21],"for":[22,138],"assigning":[23],"set":[25,42],"of":[26,35,43,47,97,148,180],"courses,":[27],"lecturers":[28],"and":[29,37,65,78,127,165,233],"students":[30],"specific":[33],"number":[34],"rooms":[36],"timeslots,":[38],"subject":[39],"constraints.":[44],"structure":[46],"PCA":[48,59,73,94,126,130,145,177],"resembles":[49],"simulated":[51],"annealing":[52],"structure.":[53],"basic":[55,144,176],"difference":[56],"that":[58,132,219],"does":[60,67],"not":[61,68],"have":[62],"cooling":[63],"schedule":[64],"it":[66,117],"rely":[69],"on":[70,214],"user-defined":[71],"parameters.":[72],"differs":[74,142,174],"from":[75,99,143,175],"Simulated":[76],"Annealing":[77],"other":[79,167,236],"meta-heuristic":[80],"approaches":[81,237],"where,":[82],"before":[83],"accepting":[84,181],"the":[85,120,161,166,169,182,186,192,204],"trial":[86,205],"solution":[87,162,184,206],"(although":[88],"we":[89],"obtain":[90],"good-quality":[91],"solution).":[92],"Therefore,":[93],"capable":[96],"escaping":[98],"local":[100],"optima.":[101],"Hybrid":[103],"Multi-Neighbourhood":[104],"with":[108,125,197],"Great":[109,121,193],"Deluge":[110,122,194],"using":[111],"Composite":[112],"Neighbourhood":[113],"Structure":[114],"(HPCA),":[115],"which":[116,153,189],"hybridize":[119],"acceptance":[123,195],"criterion":[124,196],"enhances":[128],"approach":[131],"was":[133],"originally":[134],"introduced":[135],"by":[136,207],"Sacco":[137],"policy":[139],"optimization.":[140],"HPCA":[141,172,199,220],"in":[146,160,168,178,185,238],"terms":[147,179],"applying":[149],"multi-neighbourhood":[150],"composite":[151],"structures,":[152],"divided":[155],"into":[156],"two":[157],"stages,":[158],"one":[159],"construction":[163],"phase":[164],"improvement":[170],"phase.":[171],"also":[173],"worst":[183],"scattering":[187],"phase,":[188],"hybrid":[191],"PCA.":[198],"attempts":[200],"further":[202],"enhance":[203],"exploring":[208],"different":[209],"neighbourhood":[210],"structures.":[211],"Results":[212],"tested":[213],"Socha":[215],"benchmark":[216],"datasets":[217],"show":[218],"able":[222],"significantly":[225],"good":[226],"quality":[227],"solutions":[228],"within":[229],"reasonable":[231],"time":[232],"outperformed":[234],"some":[235,239],"instances.":[240]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}