{"id":"https://openalex.org/W4385226683","doi":"https://doi.org/10.1007/s40747-023-01166-5","title":"Maximal sparse convex surrogate-assisted evolutionary convolutional neural architecture search for image segmentation","display_name":"Maximal sparse convex surrogate-assisted evolutionary convolutional neural architecture search for image segmentation","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4385226683","doi":"https://doi.org/10.1007/s40747-023-01166-5"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-023-01166-5","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-023-01166-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01166-5.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01166-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103160959","display_name":"Wei Wang","orcid":"https://orcid.org/0009-0001-6765-0097"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080165465","display_name":"Xianpeng Wang","orcid":"https://orcid.org/0000-0001-8132-9446"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianpeng Wang","raw_affiliation_strings":["Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry, Liaoning Key Laboratory of Manufacturing System and Logistics Optimization, Northeastern University, Shenyang, 110819, China"],"raw_orcid":"https://orcid.org/0000-0001-8132-9446","affiliations":[{"raw_affiliation_string":"Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry, Liaoning Key Laboratory of Manufacturing System and Logistics Optimization, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101346076","display_name":"Xiangman Song","orcid":"https://orcid.org/0000-0001-7279-731X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangman Song","raw_affiliation_strings":["National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080165465"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14560176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"1","first_page":"383","last_page":"396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9976999759674072,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9976999759674072,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9927999973297119,"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/T12676","display_name":"Machine Learning and ELM","score":0.9904000163078308,"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/computer-science","display_name":"Computer science","score":0.6611060500144958},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6064504384994507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.603341281414032},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5682229995727539},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5397857427597046},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49216359853744507},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4807731509208679},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45707541704177856},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.44984930753707886},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43509477376937866},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4175718128681183},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.41466251015663147},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3925480842590332},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.2782870829105377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22112885117530823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6611060500144958},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6064504384994507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.603341281414032},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5682229995727539},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5397857427597046},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49216359853744507},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4807731509208679},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45707541704177856},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.44984930753707886},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43509477376937866},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4175718128681183},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.41466251015663147},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3925480842590332},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.2782870829105377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22112885117530823},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-023-01166-5","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-023-01166-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01166-5.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0b44dd8d608243cfa9d1056ce75d8dd8","is_oa":true,"landing_page_url":"https://doaj.org/article/0b44dd8d608243cfa9d1056ce75d8dd8","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 1, Pp 383-396 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-023-01166-5","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-023-01166-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01166-5.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G2311391187","display_name":null,"funder_award_id":"B16009","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G2851770332","display_name":null,"funder_award_id":"N2128001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5303336969","display_name":null,"funder_award_id":"72192830","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5732221011","display_name":null,"funder_award_id":"62073067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5791456923","display_name":null,"funder_award_id":"B16009","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G852931893","display_name":null,"funder_award_id":"72192831","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G969350000","display_name":null,"funder_award_id":"B16009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385226683.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1989807314","https://openalex.org/W2027120741","https://openalex.org/W2089801743","https://openalex.org/W2111935653","https://openalex.org/W2122950831","https://openalex.org/W2206167351","https://openalex.org/W2586155783","https://openalex.org/W2591927365","https://openalex.org/W2593175742","https://openalex.org/W2606006859","https://openalex.org/W2774833978","https://openalex.org/W2792384468","https://openalex.org/W2796127010","https://openalex.org/W2802388893","https://openalex.org/W2803232390","https://openalex.org/W2827293090","https://openalex.org/W2887063112","https://openalex.org/W2888429796","https://openalex.org/W2890644749","https://openalex.org/W2921406441","https://openalex.org/W2942026628","https://openalex.org/W2946914248","https://openalex.org/W2979605896","https://openalex.org/W2980269695","https://openalex.org/W3023893416","https://openalex.org/W3080409317","https://openalex.org/W3082160919","https://openalex.org/W3094059395","https://openalex.org/W3100230575","https://openalex.org/W3103320289","https://openalex.org/W3107599876","https://openalex.org/W3130777809","https://openalex.org/W3134254543","https://openalex.org/W3141259390","https://openalex.org/W3165895193","https://openalex.org/W3167548703","https://openalex.org/W3167789383","https://openalex.org/W3169228979","https://openalex.org/W3192682950","https://openalex.org/W3197865018","https://openalex.org/W3199454367","https://openalex.org/W3204647170","https://openalex.org/W4206693420","https://openalex.org/W4255158661"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W1560122427","https://openalex.org/W3041827036","https://openalex.org/W1993493607","https://openalex.org/W2021957875","https://openalex.org/W2802808995","https://openalex.org/W2116464912"],"abstract_inverted_index":{"Abstract":[0],"Designing":[1],"reasonable":[2,142],"architectures":[3],"of":[4,20,25,36,49,56,94,141,151,158],"convolutional":[5],"neural":[6],"network":[7,143],"(CNN)":[8],"for":[9],"specific":[10],"image":[11],"segmentation":[12,157],"remains":[13],"a":[14,33,74,104,108,128],"challenging":[15],"task,":[16],"as":[17],"the":[18,21,46,52,91,117,123,139,156,167,173],"determination":[19],"structure":[22],"and":[23,31,63,134,162],"hyperparameters":[24],"CNN":[26,95,152],"depends":[27],"heavily":[28],"on":[29],"expertise":[30],"requires":[32,64],"great":[34],"deal":[35,70],"time.":[37],"Evolutionary":[38],"algorithm":[39],"(EA)":[40],"has":[41],"been":[42],"successfully":[43],"applied":[44,154],"to":[45,59,89,107,121,155],"automatic":[47,148],"design":[48,149],"CNNs;":[50],"however,":[51],"inherent":[53],"stochastic":[54],"search":[55],"EA":[57],"tends":[58],"cause":[60],"\u201cexperience":[61],"loss\u201d":[62],"very":[65],"large":[66],"computational":[67,132],"resources.":[68],"To":[69],"with":[71,80,172],"this":[72,87],"problem,":[73],"maximal":[75],"sparse":[76,98,110],"convex":[77,99,111],"surrogate":[78],"model":[79],"updated":[81],"empirical":[82,119],"information":[83],"is":[84,101,136,153,170],"proposed":[85,137,146,168],"in":[86,138],"paper":[88],"guide":[90],"evolutionary":[92,124],"process":[93],"design.":[96],"This":[97],"function":[100,106],"transformed":[102],"from":[103],"non-convex":[105],"maximized":[109],"function,":[112],"which":[113],"can":[114],"better":[115],"utilize":[116],"prior":[118],"knowledge":[120],"assist":[122],"search.":[125],"In":[126],"addition,":[127],"balance":[129],"strategy":[130],"between":[131],"resources":[133],"accuracy":[135],"selection":[140],"architectures.":[144],"The":[145],"fully":[147],"method":[150,169],"steel":[159],"microstructure":[160],"images,":[161],"experimental":[163],"results":[164],"demonstrate":[165],"that":[166],"competitive":[171],"existing":[174],"state-of-the-art":[175],"methods.":[176]},"counts_by_year":[],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2025-10-10T00:00:00"}
