{"id":"https://openalex.org/W2168887123","doi":"https://doi.org/10.4304/jnw.6.7.982-989","title":"Multi-objective Genetic Algorithm for System Identification and Controller Optimization of Automated Guided Vehicle","display_name":"Multi-objective Genetic Algorithm for System Identification and Controller Optimization of Automated Guided Vehicle","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2168887123","doi":"https://doi.org/10.4304/jnw.6.7.982-989","mag":"2168887123"},"language":"en","primary_location":{"id":"doi:10.4304/jnw.6.7.982-989","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jnw.6.7.982-989","pdf_url":null,"source":{"id":"https://openalex.org/S189188848","display_name":"Journal of Networks","issn_l":"1796-2056","issn":["1796-2056"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Networks","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/A5010970085","display_name":"Xing Zheng Wu","orcid":"https://orcid.org/0000-0003-3072-2592"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xing Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083572277","display_name":"Peihuang Lou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peihuang Lou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5019142552","display_name":"Dunbing Tang","orcid":"https://orcid.org/0000-0002-6144-089X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dunbing Tang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.8616,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.96438123,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"6","issue":"7","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9972000122070312,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14474","display_name":"Industrial Technology and Control Systems","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.7837508916854858},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5952988862991333},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.5667040944099426},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5459874272346497},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5059196352958679},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.49120256304740906},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.47910669445991516},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4386710524559021},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.41692253947257996},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.18326178193092346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16437825560569763},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1314801275730133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11571264266967773}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7837508916854858},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5952988862991333},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.5667040944099426},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5459874272346497},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5059196352958679},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.49120256304740906},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.47910669445991516},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4386710524559021},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.41692253947257996},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.18326178193092346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16437825560569763},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1314801275730133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11571264266967773},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jnw.6.7.982-989","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jnw.6.7.982-989","pdf_url":null,"source":{"id":"https://openalex.org/S189188848","display_name":"Journal of Networks","issn_l":"1796-2056","issn":["1796-2056"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W104884240","https://openalex.org/W1148814393","https://openalex.org/W1612556207","https://openalex.org/W2036179851","https://openalex.org/W2068074513","https://openalex.org/W2078797030","https://openalex.org/W2080421438","https://openalex.org/W2116661285","https://openalex.org/W2123377531","https://openalex.org/W2123932433","https://openalex.org/W2126105956","https://openalex.org/W2140066605","https://openalex.org/W2143389135","https://openalex.org/W2163468122","https://openalex.org/W2167962356","https://openalex.org/W2210682639","https://openalex.org/W2261054240","https://openalex.org/W2355310035","https://openalex.org/W2361977255","https://openalex.org/W2367602233","https://openalex.org/W2368955127","https://openalex.org/W2913602408","https://openalex.org/W4254789786","https://openalex.org/W6636658889","https://openalex.org/W6680838134","https://openalex.org/W6688341492"],"related_works":["https://openalex.org/W2347477706","https://openalex.org/W4299389082","https://openalex.org/W1943663474","https://openalex.org/W2306830238","https://openalex.org/W2110294633","https://openalex.org/W1829715381","https://openalex.org/W2014162767","https://openalex.org/W2115729582","https://openalex.org/W2809283963","https://openalex.org/W2367260997"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,136],"multi-objective":[4,124],"genetic":[5],"algorithm":[6],"(MOGA)":[7],"with":[8,135,156],"Pareto":[9,88],"optimality":[10],"and":[11,34,97,104,114,122,163,165,178],"elitist":[12,98],"tactics":[13],"for":[14],"the":[15,44,59,72,123,132,144,148,152,173],"control":[16,38,170],"system":[17,32,39,42,153,159,171],"design":[18],"of":[19],"automated":[20],"guided":[21],"vehicle":[22],"(AGV).":[23],"The":[24,117],"MOGA":[25,146],"is":[26,51,81],"used":[27],"to":[28,94,130,150,166],"identify":[29],"AGV":[30,78,157,182],"driving":[31,158],"model":[33,45,154],"optimize":[35],"its":[36,168],"servo":[37,169],"sequentially.":[40],"In":[41,69],"identification,":[43],"identified":[46],"by":[47,77,108],"least":[48],"square":[49],"method":[50,121],"adopted":[52],"as":[53,67,83,91],"an":[54],"evolution":[55],"tutor":[56],"who":[57],"selects":[58],"individuals":[60],"having":[61],"balanced":[62],"performances":[63],"in":[64,161,181],"all":[65],"objectives":[66,96],"elitists.":[68,92],"controller":[70],"optimization,":[71],"velocity":[73],"regulating":[74],"capability":[75,149],"required":[76],"path":[79,183],"tracking":[80],"employed":[82],"decision-making":[84],"preferences":[85],"which":[86],"select":[87],"optimal":[89],"solutions":[90],"According":[93],"different":[95],"tactics,":[99],"several":[100],"sub-populations":[101],"are":[102,128],"constructed":[103],"they":[105],"evolve":[106],"concurrently":[107],"using":[109],"independent":[110],"reproduction,":[111],"neighborhood":[112],"mutation":[113],"heuristic":[115],"crossover.":[116],"lossless":[118],"finite":[119],"precision":[120],"normalized":[125],"increment":[126],"distance":[127],"proposed":[129],"keep":[131],"population":[133],"diversity":[134],"low":[137],"computational":[138],"complexity.":[139],"Experiment":[140],"results":[141],"show":[142],"that":[143],"cascaded":[145],"have":[147],"make":[151,167],"consistent":[155],"both":[160],"amplitude":[162],"phase,":[164],"satisfy":[172],"requirements":[174],"on":[175],"dynamic":[176],"performance":[177],"steady-state":[179],"accuracy":[180],"tracking.":[184]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
