{"id":"https://openalex.org/W7125810540","doi":"https://doi.org/10.1109/mind67540.2025.11351774","title":"Dynamic Constrained Multiobjective Algorithm Based on Neural Network Learning and Evolutionary Optimization","display_name":"Dynamic Constrained Multiobjective Algorithm Based on Neural Network Learning and Evolutionary Optimization","publication_year":2025,"publication_date":"2025-10-31","ids":{"openalex":"https://openalex.org/W7125810540","doi":"https://doi.org/10.1109/mind67540.2025.11351774"},"language":"en","primary_location":{"id":"doi:10.1109/mind67540.2025.11351774","doi":"https://doi.org/10.1109/mind67540.2025.11351774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mind67540.2025.11351774","pdf_url":null,"source":{"id":"https://openalex.org/S7407104579","display_name":"International Conference on Machine Intelligence and Nature-Inspired Computing (MIND)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Machine Intelligence and Nature-Inspired Computing (MIND)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5123919697","display_name":"Chenwen Ding","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenwen Ding","raw_affiliation_strings":["Shantou University,Guangdong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shantou University,Guangdong,China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140121657","display_name":"Wenji Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenji Li","raw_affiliation_strings":["Shantou University,Guangdong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shantou University,Guangdong,China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124044188","display_name":"Jiachun Huang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiachun Huang","raw_affiliation_strings":["Shantou University,Guangdong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shantou University,Guangdong,China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123893488","display_name":"Zhaojun Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaojun Wang","raw_affiliation_strings":["Shantou University,Guangdong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shantou University,Guangdong,China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124002867","display_name":"Min Jiang","orcid":"https://orcid.org/0000-0003-2946-6974","observed_orcids":["https://orcid.org/0000-0003-2946-6974"]},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Jiang","raw_affiliation_strings":["Xiamen University,Fujian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University,Fujian,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140128578","display_name":"Biao Xu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Xu","raw_affiliation_strings":["Shantou University,Guangdong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shantou University,Guangdong,China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123844528","display_name":"Shushan Huang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shushan Huang","raw_affiliation_strings":["Shantou University,Guangdong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shantou University,Guangdong,China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743577","display_name":"Yun Li","orcid":"https://orcid.org/0000-0002-6575-1839","observed_orcids":["https://orcid.org/0000-0002-6575-1839","https://orcid.org/0000-0003-4168-6400","https://orcid.org/0000-0002-5982-9265","https://orcid.org/0000-0003-3567-8455","https://orcid.org/0000-0001-6979-0299","https://orcid.org/0000-0002-4358-8882"]},"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":"Yun Li","raw_affiliation_strings":["University of Electronic Science and Technology of China,Sichuan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Sichuan,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123091690","display_name":"Zhun Fan","orcid":null,"observed_orcids":[]},"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":"Zhun Fan","raw_affiliation_strings":["University of Electronic Science and Technology of China,Sichuan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Sichuan,China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"223","last_page":"228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.00039999998989515007,"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":0.0,"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/solution-space-exploration","display_name":"solution space exploration","score":0.4749999940395355},{"id":"https://openalex.org/keywords/convergence-and-diversity","display_name":"convergence and diversity","score":0.8539999723434448}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6608999967575073},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6531999707221985},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6459000110626221},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6266000270843506},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6003000140190125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5788000226020813},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5012000203132629},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.44029998779296875},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.43790000677108765},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.399399995803833},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3594000041484833},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.3495999872684479},{"id":"https://openalex.org/C55660270","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C2989514635","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization problem","level":3,"score":0.3131999969482422},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.2818000018596649},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2768000066280365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.272599995136261},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26100000739097595},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mind67540.2025.11351774","doi":"https://doi.org/10.1109/mind67540.2025.11351774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mind67540.2025.11351774","pdf_url":null,"source":{"id":"https://openalex.org/S7407104579","display_name":"International Conference on Machine Intelligence and Nature-Inspired Computing (MIND)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Machine Intelligence and Nature-Inspired Computing (MIND)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2862643648","display_name":null,"funder_award_id":"62176147,62476163,62441612","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3060735356","display_name":null,"funder_award_id":"2021ZD0111502","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G8585321625","display_name":null,"funder_award_id":"2022A1515110660,2023B1515120020,2024A1515012450","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1968173975","https://openalex.org/W2016709972","https://openalex.org/W2031660331","https://openalex.org/W2766224505","https://openalex.org/W2963115819","https://openalex.org/W2995430847","https://openalex.org/W3036925570","https://openalex.org/W3145700339","https://openalex.org/W3164463895","https://openalex.org/W3196485901","https://openalex.org/W3217299334","https://openalex.org/W4318954070","https://openalex.org/W4322706826","https://openalex.org/W4375843772","https://openalex.org/W4386590623","https://openalex.org/W4389610047","https://openalex.org/W4391925470","https://openalex.org/W4395096433","https://openalex.org/W4401809714","https://openalex.org/W4411562408","https://openalex.org/W4415798568"],"related_works":["https://openalex.org/W4415284620","https://openalex.org/W4393857308","https://openalex.org/W4412939868","https://openalex.org/W4413215947","https://openalex.org/W2154709802","https://openalex.org/W4415284631","https://openalex.org/W4399420730","https://openalex.org/W2100821205","https://openalex.org/W4366817935","https://openalex.org/W7164856348"],"abstract_inverted_index":{"Dynamic":[0],"constrained":[1,18,32],"multiobjective":[2,19,33],"optimization":[3,37,61,86],"problems":[4,93],"(DCMOPs)":[5],"require":[6],"quickly":[7],"tracking":[8],"Pareto":[9],"optimal":[10],"solution":[11,57,64],"sets":[12],"satisfying":[13],"dynamic":[14,17],"constraints.":[15],"Existing":[16],"evolutionary":[20,76],"algorithms":[21],"(DCMOEAs)":[22],"primarily":[23],"emphasize":[24],"environmental":[25],"change":[26],"response":[27],"mechanisms":[28],"while":[29],"neglecting":[30],"the":[31],"optimizers":[34],"in":[35,63,104],"static":[36,85],"phases.":[38,87],"This":[39,78],"limitation":[40],"makes":[41],"it":[42],"difficult":[43],"to":[44,109],"obtain":[45],"high-quality":[46],"solutions.":[47],"To":[48],"address":[49],"this":[50],"issue,":[51],"we":[52],"design":[53],"a":[54,68],"neural":[55],"network-based":[56],"generator":[58],"that":[59,72],"captures":[60],"directions":[62],"space":[65],"and":[66,75,102],"propose":[67],"dual-path":[69],"collaborative":[70],"structure":[71,79],"combines":[73],"learning":[74],"optimization.":[77],"significantly":[80],"enhances":[81],"search":[82],"efficiency":[83],"within":[84],"Experiments":[88],"on":[89],"nine":[90],"DCMOPs":[91],"benchmark":[92],"validate":[94],"our":[95],"method's":[96],"effectiveness,":[97],"which":[98],"demonstrates":[99],"superior":[100],"convergence":[101],"diversity":[103],"most":[105],"experimental":[106],"scenarios":[107],"compared":[108],"six":[110],"advanced":[111],"DCMOEAs.":[112]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-01-28T00:00:00"}
