{"id":"https://openalex.org/W2963418938","doi":"https://doi.org/10.1109/tnnls.2019.2920887","title":"Neural Network-Based Information Transfer for Dynamic Optimization","display_name":"Neural Network-Based Information Transfer for Dynamic Optimization","publication_year":2019,"publication_date":"2019-07-19","ids":{"openalex":"https://openalex.org/W2963418938","doi":"https://doi.org/10.1109/tnnls.2019.2920887","mag":"2963418938","pmid":"https://pubmed.ncbi.nlm.nih.gov/31329131"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2019.2920887","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2920887","pdf_url":"https://ieeexplore.ieee.org/ielx7/5962385/9084161/08767010.pdf","source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/5962385/9084161/08767010.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056487497","display_name":"Xiaofang Liu","orcid":"https://orcid.org/0000-0002-8137-4201"},"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":"Xiao-Fang Liu","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011145004","display_name":"Zhi\u2010Hui Zhan","orcid":"https://orcid.org/0000-0003-0862-0514"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Hui Zhan","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036224495","display_name":"Tianlong Gu","orcid":"https://orcid.org/0000-0002-1662-7110"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian-Long Gu","raw_affiliation_strings":["School of Computer Science and Engineering, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068089141","display_name":"Zhenyu Lu","orcid":"https://orcid.org/0000-0002-5066-4716"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Lu","raw_affiliation_strings":["School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086858785","display_name":"Henry Been\u2010Lirn Duh","orcid":"https://orcid.org/0000-0003-4808-6109"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Henry Been-Lirn Duh","raw_affiliation_strings":["Department of Computer Science and Information Technology, La Trobe University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, La Trobe University, Melbourne, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I71270174","display_name":"Victoria University","ror":"https://ror.org/04j757h98","country_code":"AU","type":"education","lineage":["https://openalex.org/I71270174"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["College of Engineering and Science, Institute for Sustainable Industries and Liveable Cities, Victoria University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Science, Institute for Sustainable Industries and Liveable Cities, Victoria University, Melbourne, Australia","institution_ids":["https://openalex.org/I71270174"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5056487497"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":8.5264,"has_fulltext":true,"cited_by_count":107,"citation_normalized_percentile":{"value":0.98056765,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"31","issue":"5","first_page":"1557","last_page":"1570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9995999932289124,"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":0.9995999932289124,"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":0.989300012588501,"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":0.9779000282287598,"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":0.7649198770523071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.752251148223877},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.6591632962226868},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5717647075653076},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5647289156913757},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.49273112416267395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4577135443687439},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.4189274311065674},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4157235026359558},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32184287905693054},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13151708245277405}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7649198770523071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.752251148223877},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.6591632962226868},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5717647075653076},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5647289156913757},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.49273112416267395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4577135443687439},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.4189274311065674},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4157235026359558},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32184287905693054},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13151708245277405},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2019.2920887","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2920887","pdf_url":"https://ieeexplore.ieee.org/ielx7/5962385/9084161/08767010.pdf","source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:31329131","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31329131","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:eprints.vu.edu.au:45246","is_oa":false,"landing_page_url":"https://vuir.vu.edu.au/45246/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400215","display_name":"Victoria University Research Repository (Victoria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I41156924","host_organization_name":"Victoria University of Wellington","host_organization_lineage":["https://openalex.org/I41156924"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":{"id":"doi:10.1109/tnnls.2019.2920887","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2920887","pdf_url":"https://ieeexplore.ieee.org/ielx7/5962385/9084161/08767010.pdf","source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","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/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1749516439","display_name":null,"funder_award_id":"2018B03031200","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G187530476","display_name":null,"funder_award_id":"2014A","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"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/G2457410701","display_name":null,"funder_award_id":"11206317","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G24744273","display_name":null,"funder_award_id":"61822602","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2632940600","display_name":null,"funder_award_id":"61772207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2638665034","display_name":null,"funder_award_id":"6177220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3050062962","display_name":null,"funder_award_id":"2018B050502006","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/G3331203778","display_name":null,"funder_award_id":"2018B030312003","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"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/G4462625321","display_name":null,"funder_award_id":"6187309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5452762153","display_name":null,"funder_award_id":"2018B030312","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"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/G6686995610","display_name":null,"funder_award_id":"2014A","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8173447722","display_name":null,"funder_award_id":"2014A030306038","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G835260656","display_name":null,"funder_award_id":"61873097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8375654963","display_name":null,"funder_award_id":"61773220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963418938.pdf","grobid_xml":"https://content.openalex.org/works/W2963418938.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1517901066","https://openalex.org/W1519148960","https://openalex.org/W1523860575","https://openalex.org/W1562645378","https://openalex.org/W1580417784","https://openalex.org/W1581435576","https://openalex.org/W1766318984","https://openalex.org/W1966334496","https://openalex.org/W1968173975","https://openalex.org/W1986089270","https://openalex.org/W2030543041","https://openalex.org/W2041006267","https://openalex.org/W2044757078","https://openalex.org/W2048878795","https://openalex.org/W2054984152","https://openalex.org/W2066640237","https://openalex.org/W2067333659","https://openalex.org/W2079675700","https://openalex.org/W2083408070","https://openalex.org/W2085054178","https://openalex.org/W2105417920","https://openalex.org/W2110988848","https://openalex.org/W2116222245","https://openalex.org/W2116401251","https://openalex.org/W2118616578","https://openalex.org/W2132340807","https://openalex.org/W2137983211","https://openalex.org/W2143503407","https://openalex.org/W2147585405","https://openalex.org/W2148192607","https://openalex.org/W2148458253","https://openalex.org/W2155482699","https://openalex.org/W2158722083","https://openalex.org/W2342523745","https://openalex.org/W2489159973","https://openalex.org/W2529482946","https://openalex.org/W2551000267","https://openalex.org/W2558994494","https://openalex.org/W2583496274","https://openalex.org/W2741069800","https://openalex.org/W2746492672","https://openalex.org/W2747178815","https://openalex.org/W2750516840","https://openalex.org/W2766936055","https://openalex.org/W2769293273","https://openalex.org/W2803970949","https://openalex.org/W2806666419","https://openalex.org/W2887471996","https://openalex.org/W2895851783","https://openalex.org/W2901808438","https://openalex.org/W2938111495","https://openalex.org/W2940791172","https://openalex.org/W2964050365","https://openalex.org/W3099100043","https://openalex.org/W3101217327","https://openalex.org/W3137695714","https://openalex.org/W3146803896","https://openalex.org/W6634607216","https://openalex.org/W6671497112","https://openalex.org/W6677319862","https://openalex.org/W6763485134"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4230315250"],"abstract_inverted_index":{"In":[0],"dynamic":[1,21],"optimization":[2,174],"problems":[3],"(DOPs),":[4],"as":[5],"the":[6,11,20,26,56,60,67,70,82,106,117,122,126,132,136,140,150,158,164,173,176,207,218],"environment":[7,22,41,58,110,127,138,142],"changes":[8,54,111],"through":[9],"time,":[10],"optima":[12,27],"also":[13],"dynamically":[14],"change.":[15],"How":[16],"to":[17,19,45,59,76,104,120,148,162,167,190],"adapt":[18],"and":[23,114,139,143,204,223],"quickly":[24],"find":[25],"in":[28,35,90,175],"all":[29],"environments":[30],"is":[31,42,160,221],"a":[32,39,95],"challenging":[33],"issue":[34],"solving":[36],"DOPs.":[37,192],"Usually,":[38],"new":[40,61,78,83,86,141,168,177],"strongly":[43],"relevant":[44],"its":[46],"previous":[47,57,71,137],"environment.":[48,178],"If":[49],"we":[50,64,93],"know":[51],"how":[52],"it":[53],"from":[55,134,153],"one,":[62],"then":[63,115,144],"can":[65,182,224],"transfer":[66,100,107,151,163],"information":[68,80,99],"of":[69,81,109],"environment,":[72,84],"e.g.,":[73,85],"past":[74,123,165],"solutions,":[75],"get":[77],"promising":[79,169,222],"high-quality":[87],"solutions.":[88,124,155],"Thus,":[89],"this":[91],"paper,":[92],"propose":[94],"neural":[96],"network":[97],"(NN)-based":[98],"method,":[101],"named":[102],"NNIT,":[103],"learn":[105,149],"model":[108,119,152],"by":[112],"NN":[113,147,159],"use":[116],"learned":[118],"reuse":[121],"When":[125],"changes,":[128],"NNIT":[129,181,220],"first":[130],"collects":[131],"solutions":[133,166,170],"both":[135],"uses":[145],"an":[146],"these":[154],"After":[156],"that,":[157],"used":[161,209],"for":[171,197,201],"assisting":[172],"The":[179,213],"proposed":[180,219],"be":[183],"incorporated":[184],"into":[185],"population-based":[186],"evolutionary":[187],"algorithms":[188],"(EAs)":[189],"solve":[191],"Several":[193],"typical":[194],"state-of-the-art":[195],"EAs":[196],"DOPs":[198],"are":[199],"selected":[200],"comprehensive":[202],"study":[203],"evaluated":[205],"using":[206],"widely":[208],"moving":[210],"peaks":[211],"benchmark.":[212],"experimental":[214],"results":[215],"show":[216],"that":[217],"accelerate":[225],"algorithm":[226],"convergence.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":6}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}