{"id":"https://openalex.org/W2516477622","doi":"https://doi.org/10.1109/icis.2016.7550765","title":"An evolutionary multi-layer perceptron neural network for solving unconstrained global optimization problems","display_name":"An evolutionary multi-layer perceptron neural network for solving unconstrained global optimization problems","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2516477622","doi":"https://doi.org/10.1109/icis.2016.7550765","mag":"2516477622"},"language":"en","primary_location":{"id":"doi:10.1109/icis.2016.7550765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2016.7550765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","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/A5018689877","display_name":"Jui-Yu Wu","orcid":"https://orcid.org/0000-0003-0780-4506"},"institutions":[{"id":"https://openalex.org/I50519452","display_name":"Lunghwa University of Science and Technology","ror":"https://ror.org/001y2wd07","country_code":"TW","type":"education","lineage":["https://openalex.org/I50519452"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jui-Yu Wu","raw_affiliation_strings":["Department of Business Administration, Lunghwa University of Science and Technology, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Business Administration, Lunghwa University of Science and Technology, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I50519452"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018689877"],"corresponding_institution_ids":["https://openalex.org/I50519452"],"apc_list":null,"apc_paid":null,"fwci":1.7139,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.89118563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9987999796867371,"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":0.9987999796867371,"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/T10320","display_name":"Neural Networks and Applications","score":0.9842000007629395,"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":0.9659000039100647,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.695645809173584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6604350805282593},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6454600095748901},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6390478014945984},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6118144392967224},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5368443131446838},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.503717839717865},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4919087886810303},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.48727524280548096},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.4138144254684448},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37132471799850464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28380197286605835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23925039172172546}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.695645809173584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604350805282593},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6454600095748901},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6390478014945984},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6118144392967224},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5368443131446838},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.503717839717865},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4919087886810303},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.48727524280548096},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.4138144254684448},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37132471799850464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28380197286605835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23925039172172546},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icis.2016.7550765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2016.7550765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W568787533","https://openalex.org/W653600130","https://openalex.org/W944856202","https://openalex.org/W1968442252","https://openalex.org/W1977305771","https://openalex.org/W1983092131","https://openalex.org/W2006417187","https://openalex.org/W2023101588","https://openalex.org/W2025540321","https://openalex.org/W2032765647","https://openalex.org/W2051812123","https://openalex.org/W2064014275","https://openalex.org/W2081645007","https://openalex.org/W2081784348","https://openalex.org/W2089501235","https://openalex.org/W2091391445","https://openalex.org/W2131183806","https://openalex.org/W2134383471","https://openalex.org/W2137983211","https://openalex.org/W2160694855","https://openalex.org/W2168556168","https://openalex.org/W2192144512","https://openalex.org/W2205411863","https://openalex.org/W2568452940","https://openalex.org/W2996739384","https://openalex.org/W3146803896","https://openalex.org/W6681218740","https://openalex.org/W6731840600"],"related_works":["https://openalex.org/W2082756648","https://openalex.org/W3194278305","https://openalex.org/W2289648981","https://openalex.org/W3019402777","https://openalex.org/W1565459987","https://openalex.org/W2088798842","https://openalex.org/W4280646145","https://openalex.org/W2116464912","https://openalex.org/W2013374813","https://openalex.org/W2022485595"],"abstract_inverted_index":{"This":[0,25],"study":[1,26],"presents":[2],"an":[3,14,17,32],"evolutionary":[4],"multi-layer":[5],"perceptron":[6],"neural":[7],"network":[8,29],"(EvoMLPNN)":[9],"method,":[10],"which":[11],"consists":[12],"of":[13,31,49,61,68,122,129],"MLPNN":[15,33,51],"and":[16,45,74,110,117],"improved":[18],"quantum-behaved":[19],"particle":[20],"swarm":[21],"optimization":[22,42,103],"(IQPSO)":[23],"method.":[24],"develops":[27],"a":[28,66,101],"topology":[30],"that":[34,94,118],"can":[35,99,111],"be":[36],"used":[37,73],"to":[38,127],"solve":[39,112],"unconstrained":[40],"global":[41,102],"(UGO)":[43],"problems,":[44,116],"optimizes":[46],"the":[47,50,54,59,62,75,80,95,119,123],"weights":[48],"by":[52],"using":[53,79,88],"IQPSO":[55],"approach.":[56],"To":[57],"evaluate":[58],"performance":[60],"proposed":[63,96],"EvoMLPNN":[64,81,97,124],"approach,":[65],"set":[67],"benchmark":[69],"UGO":[70,108,115],"problems":[71],"was":[72],"numerical":[76,120],"results":[77,92,121],"obtained":[78,87],"method":[82,98],"were":[83],"compared":[84],"with":[85],"those":[86,128],"published":[89,131],"algorithms.":[90,132],"Experimental":[91],"show":[93],"find":[100],"solution":[104],"for":[105],"each":[106],"test":[107],"problem":[109],"highly":[113],"dimensional":[114],"approach":[125],"outperform":[126],"some":[130]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
