{"id":"https://openalex.org/W4315647577","doi":"https://doi.org/10.1108/ijicc-07-2022-0197","title":"A novel improved teaching and learning-based-optimization algorithm and its application in a large-scale inventory control system","display_name":"A novel improved teaching and learning-based-optimization algorithm and its application in a large-scale inventory control system","publication_year":2023,"publication_date":"2023-01-11","ids":{"openalex":"https://openalex.org/W4315647577","doi":"https://doi.org/10.1108/ijicc-07-2022-0197"},"language":"en","primary_location":{"id":"doi:10.1108/ijicc-07-2022-0197","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijicc-07-2022-0197","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","raw_type":"journal-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/A5100689247","display_name":"Zhixiang Chen","orcid":"https://orcid.org/0000-0002-1007-3612"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhixiang Chen","raw_affiliation_strings":["Department of Management Science, School of Business, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1007-3612","affiliations":[{"raw_affiliation_string":"Department of Management Science, School of Business, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100689247"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.6627,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73472345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"16","issue":"3","first_page":"443","last_page":"501"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9976000189781189,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/computer-science","display_name":"Computer science","score":0.7841565608978271},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6338016986846924},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5366228818893433},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4743707776069641},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4676752984523773},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44297391176223755},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4323594570159912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40547841787338257},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3546076714992523},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.135099858045578}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7841565608978271},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6338016986846924},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5366228818893433},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4743707776069641},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4676752984523773},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44297391176223755},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4323594570159912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40547841787338257},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3546076714992523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.135099858045578},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ijicc-07-2022-0197","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijicc-07-2022-0197","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.5099999904632568,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W1999284878","https://openalex.org/W2001422417","https://openalex.org/W2001979953","https://openalex.org/W2013203042","https://openalex.org/W2038969653","https://openalex.org/W2066650517","https://openalex.org/W2072955302","https://openalex.org/W2109364787","https://openalex.org/W2113349008","https://openalex.org/W2151554678","https://openalex.org/W2236829833","https://openalex.org/W2290883490","https://openalex.org/W2290983797","https://openalex.org/W2339947748","https://openalex.org/W2460560651","https://openalex.org/W2466590996","https://openalex.org/W2472497434","https://openalex.org/W2606853036","https://openalex.org/W2736304999","https://openalex.org/W2745162489","https://openalex.org/W2782020371","https://openalex.org/W2862024739","https://openalex.org/W2892659004","https://openalex.org/W2900180896","https://openalex.org/W2903375274","https://openalex.org/W2919979744","https://openalex.org/W2944936541","https://openalex.org/W2946987154","https://openalex.org/W2958456210","https://openalex.org/W2963103847","https://openalex.org/W2968921699","https://openalex.org/W2969987024","https://openalex.org/W2990452149","https://openalex.org/W3003212905","https://openalex.org/W3008423411","https://openalex.org/W3025123931","https://openalex.org/W3081126625","https://openalex.org/W3087291126","https://openalex.org/W3094779665","https://openalex.org/W3096415170","https://openalex.org/W3103316265","https://openalex.org/W3105759934","https://openalex.org/W3110449730","https://openalex.org/W3117130289","https://openalex.org/W3123246163","https://openalex.org/W3132572198","https://openalex.org/W3170647533","https://openalex.org/W3175868736","https://openalex.org/W3177316514","https://openalex.org/W3181342409","https://openalex.org/W3186038914","https://openalex.org/W3198841180","https://openalex.org/W4213182398","https://openalex.org/W4223539584","https://openalex.org/W4224286655"],"related_works":["https://openalex.org/W4225307033","https://openalex.org/W2106556139","https://openalex.org/W2207002589","https://openalex.org/W1985012061","https://openalex.org/W3111453649","https://openalex.org/W2159757177","https://openalex.org/W1553536713","https://openalex.org/W2104162970","https://openalex.org/W3050209628","https://openalex.org/W2139038530"],"abstract_inverted_index":{"Purpose":[0],"The":[1,180,240],"purpose":[2],"of":[3,86,88,92,156,159,183,204,242],"this":[4,243],"paper":[5,244],"is":[6,52,135,152,170,229],"to":[7,17,122,259],"propose":[8],"a":[9,57,130,260],"novel":[10],"improved":[11,45],"teaching":[12,40,63,74,273,276],"and":[13,22,41,64,67,75,190,206,215,220,274],"learning-based":[14],"algorithm":[15,55,173,209,232,262],"(TLBO)":[16],"enhance":[18],"its":[19,191,221],"convergence":[20],"ability":[21],"solution":[23],"accuracy,":[24],"making":[25],"it":[26],"more":[27],"suitable":[28],"for":[29,174,233],"solving":[30,175,234,284],"large-scale":[31,131,176,198,235,285],"optimization":[32,118,165,178,237,286],"issues.":[33,238],"Design/methodology/approach":[34],"Utilizing":[35],"multiple":[36,69,266],"cooperation":[37,71,267],"mechanisms":[38],"in":[39,73,246,250,272,283],"learning":[42,65,76],"processes,":[43],"an":[44,230],"TBLO":[46],"named":[47],"CTLBO":[48,93,124,169,189,219,228,263,278],"(collectivism":[49],"teaching-learning-based":[50],"optimization)":[51],"developed.":[53],"This":[54],"introduces":[56],"new":[58,261],"preparation":[59],"phase":[60],"before":[61],"the":[62,83,98,138,153,197,202,247,252],"phases":[66],"applies":[68],"teacher\u2013learner":[70],"strategies":[72,249],"processes.":[77],"Applying":[78],"modularization":[79],"idea,":[80],"based":[81],"on":[82,115],"configuration":[84,155],"structure":[85],"operators":[87],"CTLBO,":[89],"six":[90],"variants":[91,158,222],"are":[94,105,120,210],"constructed.":[95],"For":[96],"identifying":[97],"best":[99,154],"configuration,":[100],"30":[101,144],"general":[102,145],"benchmark":[103,147],"functions":[104,148],"tested.":[106],"Then,":[107],"three":[108],"experiments":[109,162],"using":[110,163],"CEC2020":[111],"(2020":[112],"IEEE":[113],"Conference":[114],"Evolutionary":[116],"Computation)-constrained":[117],"problems":[119,166],"conducted":[121],"compare":[123],"with":[125,143,255,264],"other":[126,207,226],"algorithms.":[127,227],"At":[128],"last,":[129],"industrial":[132,184],"engineering":[133,185],"problem":[134,186],"taken":[136],"as":[137],"application":[139,181,281],"case.":[140],"Findings":[141],"Experiment":[142],"unconstrained":[146],"indicates":[149],"that":[150,168,188,218],"CTLBO-c":[151,193],"all":[157],"CTLBO.":[160],"Three":[161],"CEC2020-constrained":[164],"show":[167],"one":[171],"powerful":[172],"constrained":[177],"problems.":[179,287],"case":[182],"shows":[187],"variant":[192],"can":[194,223],"effectively":[195],"solve":[196],"real":[199],"problem,":[200],"while":[201],"accuracies":[203],"TLBO":[205,254],"meta-heuristic":[208],"far":[211,224],"lower":[212],"than":[213],"CLTBO":[214],"CTLBO-c,":[216],"revealing":[217],"outperform":[225],"excellent":[231],"complex":[236],"Originality/value":[239],"innovation":[241],"lies":[245],"improvement":[248],"changing":[251],"original":[253],"two-phase":[256],"teaching\u2013learning":[257,268],"mechanism":[258,271],"three-phase":[265],"mechanism,":[269],"self-learning":[270],"group":[275],"mechanism.":[277],"has":[279],"important":[280],"value":[282]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}