{"id":"https://openalex.org/W3206833893","doi":"https://doi.org/10.1007/s13042-021-01440-3","title":"Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications","display_name":"Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications","publication_year":2021,"publication_date":"2021-10-20","ids":{"openalex":"https://openalex.org/W3206833893","doi":"https://doi.org/10.1007/s13042-021-01440-3","mag":"3206833893"},"language":"en","primary_location":{"id":"doi:10.1007/s13042-021-01440-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13042-021-01440-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13042-021-01440-3.pdf","source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s13042-021-01440-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078781533","display_name":"Lulu Tian","orcid":"https://orcid.org/0000-0001-5820-0337"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lulu Tian","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Sichuan, 611731, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Sichuan, 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699858","display_name":"Zidong Wang","orcid":"https://orcid.org/0000-0002-9576-7401"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Zidong Wang","raw_affiliation_strings":["Department of Computer Science, Brunel University London, Uxbridge, Middlesex, UB8 3PH, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brunel University London, Uxbridge, Middlesex, UB8 3PH, UK","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101519817","display_name":"Weibo Liu","orcid":"https://orcid.org/0000-0002-8169-3261"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Weibo Liu","raw_affiliation_strings":["Department of Computer Science, Brunel University London, Uxbridge, Middlesex, UB8 3PH, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brunel University London, Uxbridge, Middlesex, UB8 3PH, UK","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017416584","display_name":"Yuhua Cheng","orcid":"https://orcid.org/0000-0002-5580-2006"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Cheng","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Sichuan, 611731, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Sichuan, 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080263475","display_name":"Fuad E. Alsaadi","orcid":"https://orcid.org/0000-0001-6420-3948"},"institutions":[{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Fuad E. Alsaadi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, 21589, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, 21589, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100375376","display_name":"Xiaohui Liu","orcid":"https://orcid.org/0000-0003-1589-1267"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaohui Liu","raw_affiliation_strings":["Department of Computer Science, Brunel University London, Uxbridge, Middlesex, UB8 3PH, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brunel University London, Uxbridge, Middlesex, UB8 3PH, UK","institution_ids":["https://openalex.org/I59433898"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100699858"],"corresponding_institution_ids":["https://openalex.org/I59433898"],"apc_list":{"value":2790,"currency":"EUR","value_usd":3590},"apc_paid":{"value":2790,"currency":"EUR","value_usd":3590},"fwci":0.5633,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63156428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"13","issue":"4","first_page":"1145","last_page":"1155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/hyperparameter","display_name":"Hyperparameter","score":0.751227617263794},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.6524786949157715},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6409255862236023},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.632312536239624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6272065043449402},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.4751608073711395},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.43295755982398987},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3704646825790405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35138607025146484},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22806569933891296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18859395384788513},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.16793769598007202}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.751227617263794},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.6524786949157715},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6409255862236023},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.632312536239624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6272065043449402},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.4751608073711395},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.43295755982398987},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3704646825790405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35138607025146484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22806569933891296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18859395384788513},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.16793769598007202}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s13042-021-01440-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13042-021-01440-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13042-021-01440-3.pdf","source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"},{"id":"pmh:oai:bura.brunel.ac.uk:2438/24544","is_oa":true,"landing_page_url":"https://bura.brunel.ac.uk/handle/2438/24544","pdf_url":null,"source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1007/s13042-021-01440-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13042-021-01440-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13042-021-01440-3.pdf","source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1052847544","display_name":null,"funder_award_id":"61903065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1807432837","display_name":null,"funder_award_id":"61873148","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4003313568","display_name":null,"funder_award_id":"2018M643441","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5705614575","display_name":null,"funder_award_id":"61933007","funder_id":"https://openalex.org/F4320308269","funder_display_name":"Alexander von Humboldt-Stiftung"},{"id":"https://openalex.org/G5760752404","display_name":null,"funder_award_id":"Projects","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6864463332","display_name":null,"funder_award_id":"6193300","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7520588270","display_name":null,"funder_award_id":"61933007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8119885652","display_name":null,"funder_award_id":"Germany","funder_id":"https://openalex.org/F4320308269","funder_display_name":"Alexander von Humboldt-Stiftung"},{"id":"https://openalex.org/G8156588672","display_name":null,"funder_award_id":"IFPIP","funder_id":"https://openalex.org/F4320322322","funder_display_name":"King Abdulaziz University"},{"id":"https://openalex.org/G8282800992","display_name":null,"funder_award_id":"61873148","funder_id":"https://openalex.org/F4320308269","funder_display_name":"Alexander von Humboldt-Stiftung"}],"funders":[{"id":"https://openalex.org/F4320308269","display_name":"Alexander von Humboldt-Stiftung","ror":"https://ror.org/012kf4317"},{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322322","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3206833893.pdf","grobid_xml":"https://content.openalex.org/works/W3206833893.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1994157709","https://openalex.org/W2008743043","https://openalex.org/W2036141312","https://openalex.org/W2054878539","https://openalex.org/W2097396480","https://openalex.org/W2131613989","https://openalex.org/W2139339670","https://openalex.org/W2162012556","https://openalex.org/W2467745878","https://openalex.org/W2551339440","https://openalex.org/W2726140679","https://openalex.org/W2737047298","https://openalex.org/W2762959398","https://openalex.org/W2797305442","https://openalex.org/W2803124099","https://openalex.org/W2874224388","https://openalex.org/W2887997908","https://openalex.org/W2898658722","https://openalex.org/W2901630379","https://openalex.org/W2901810865","https://openalex.org/W2907039237","https://openalex.org/W2908025526","https://openalex.org/W2908142178","https://openalex.org/W2919538836","https://openalex.org/W2944343123","https://openalex.org/W2955317464","https://openalex.org/W2963073614","https://openalex.org/W2963125010","https://openalex.org/W2963358003","https://openalex.org/W2963470893","https://openalex.org/W2963800363","https://openalex.org/W2970156326","https://openalex.org/W2974731060","https://openalex.org/W2985635527","https://openalex.org/W2990706204","https://openalex.org/W3007062453","https://openalex.org/W3017134642","https://openalex.org/W3019114689","https://openalex.org/W3024181962","https://openalex.org/W3024627172","https://openalex.org/W3026912802","https://openalex.org/W3031442482","https://openalex.org/W3038956143","https://openalex.org/W3043165038","https://openalex.org/W3044539706","https://openalex.org/W3046310786","https://openalex.org/W3083341821","https://openalex.org/W3084378749","https://openalex.org/W3101667383","https://openalex.org/W3119207288","https://openalex.org/W3122244891","https://openalex.org/W3123160711","https://openalex.org/W3132795731","https://openalex.org/W3134078451","https://openalex.org/W3162631546","https://openalex.org/W3166033322","https://openalex.org/W3189578536","https://openalex.org/W6601211009"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W154868527","https://openalex.org/W2140186469","https://openalex.org/W1494268238","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2114356839","https://openalex.org/W3134384462","https://openalex.org/W2125094050","https://openalex.org/W2540137049"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2],"paper,":[3],"a":[4,95,106],"novel":[5],"parameterized":[6],"generative":[7],"adversarial":[8],"network":[9],"(GAN)":[10],"is":[11,28,102,111,127],"proposed":[12,123],"where":[13,105],"the":[14,20,31,37,42,57,61,67,74,80,86,89,93,114,119,137,142],"parameters":[15],"are":[16],"introduced":[17],"to":[18,30,65,78,129],"enhance":[19],"performance":[21],"of":[22,60,70,73,88,92,116],"image":[23,75],"segmentation.":[24],"The":[25,122],"developed":[26,112],"algorithm":[27,101,126],"applied":[29],"image-based":[32],"crack":[33,81],"detection":[34,82],"problem":[35,120],"on":[36,136],"thermal":[38,138],"data":[39,139],"obtained":[40],"through":[41],"non-destructive":[43],"testing":[44],"process.":[45,83],"A":[46],"new":[47,96],"regularization":[48],"term,":[49],"which":[50],"contains":[51],"three":[52],"tunable":[53],"hyperparameters,":[54],"embedded":[55],"into":[56],"objective":[58],"function":[59],"GAN":[62,125,153],"in":[63,133],"order":[64],"improve":[66],"contrast":[68],"ratio":[69],"certain":[71],"areas":[72],"so":[76],"as":[77],"benefit":[79],"To":[84],"automate":[85],"selection":[87],"optimal":[90],"hyperparameters":[91],"GAN,":[94],"particle":[97],"swarm":[98],"optimization":[99],"(PSO)":[100],"put":[103],"forward":[104],"neighborhood-based":[107],"velocity":[108],"updating":[109],"strategy":[110],"for":[113],"purpose":[115],"thoroughly":[117],"exploring":[118],"space.":[121],"PSO-based":[124],"shown":[128],"1)":[130],"work":[131],"well":[132],"detecting":[134],"cracks":[135],"generated":[140],"by":[141],"eddy":[143],"current":[144],"pulsed":[145],"thermography":[146],"technique;":[147],"and":[148],"2)":[149],"outperforms":[150],"other":[151],"conventional":[152],"algorithms.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}