{"id":"https://openalex.org/W4412111027","doi":"https://doi.org/10.1109/tnnls.2025.3582299","title":"Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning","display_name":"Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412111027","doi":"https://doi.org/10.1109/tnnls.2025.3582299","pmid":"https://pubmed.ncbi.nlm.nih.gov/40627484"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3582299","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3582299","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":"hybrid","oa_url":"https://doi.org/10.1109/tnnls.2025.3582299","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076937094","display_name":"Chengpeng Hu","orcid":"https://orcid.org/0000-0001-8343-4186"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Chengpeng Hu","raw_affiliation_strings":["Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-8343-4186","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078037372","display_name":"Ziming Wang","orcid":"https://orcid.org/0000-0003-4270-7760"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziming Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048049588","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0001-9899-8961"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yuan","raw_affiliation_strings":["Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9899-8961","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456636","display_name":"Jialin Liu","orcid":"https://orcid.org/0000-0001-7047-8454"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jialin Liu","raw_affiliation_strings":["School of Data Science, Lingnan University, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-7047-8454","affiliations":[{"raw_affiliation_string":"School of Data Science, Lingnan University, Hong Kong, SAR, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438525","display_name":"Chengqi Zhang","orcid":"https://orcid.org/0000-0001-5715-7154"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chengqi Zhang","raw_affiliation_strings":["Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-5715-7154","affiliations":[{"raw_affiliation_string":"Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635494","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0001-8837-4442"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Yao","raw_affiliation_strings":["School of Data Science, Lingnan University, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-8837-4442","affiliations":[{"raw_affiliation_string":"School of Data Science, Lingnan University, Hong Kong, SAR, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19995592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"10","first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9907000064849854,"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/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9907000064849854,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9805999994277954,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8041199445724487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7072179317474365},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5754528641700745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5510658025741577},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5407469272613525},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5049324631690979},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.48831841349601746},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.46202215552330017},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44719409942626953},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.43863585591316223},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4238191843032837},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12006804347038269}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8041199445724487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7072179317474365},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5754528641700745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5510658025741577},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5407469272613525},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5049324631690979},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.48831841349601746},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.46202215552330017},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44719409942626953},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.43863585591316223},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4238191843032837},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12006804347038269},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2025.3582299","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3582299","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:40627484","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40627484","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:pure.tue.nl:openaire_cris_publications/81a1d547-15ba-4296-8a26-49d957db857a","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/81a1d547-15ba-4296-8a26-49d957db857a","pdf_url":"https://pure.tue.nl/ws/files/376993109/Robust_Dynamic_Material_Handling_via_Adaptive_Constrained_Evolutionary_Reinforcement_Learning.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Hu, C, Wang, Z, Yuan, B, Liu, J, Zhang, C & Yao, X 2025, 'Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning', IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 10, 11073151, pp. 19327-19341. https://doi.org/10.1109/TNNLS.2025.3582299","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.tue.nl:publications/81a1d547-15ba-4296-8a26-49d957db857a","is_oa":true,"landing_page_url":"https://research.tue.nl/files/376993109/Robust_Dynamic_Material_Handling_via_Adaptive_Constrained_Evolutionary_Reinforcement_Learning.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Hu, C, Wang, Z, Yuan, B, Liu, J, Zhang, C & Yao, X 2025, 'Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning', IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 10, 11073151, pp. 19327-19341. https://doi.org/10.1109/TNNLS.2025.3582299","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/tnnls.2025.3582299","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3582299","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":[{"score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G4266907882","display_name":null,"funder_award_id":"2023YFE0106300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8555519613","display_name":null,"funder_award_id":"62250710682","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G966106430","display_name":null,"funder_award_id":"62476119","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/F4320328618","display_name":"Lingnan University","ror":"https://ror.org/0563pg902"},{"id":"https://openalex.org/F4320329228","display_name":"Science Research Foundation of Xijing University","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W4387399830","https://openalex.org/W1994643058"],"abstract_inverted_index":{"Dynamic":[0],"material":[1,10],"handling":[2],"(DMH)":[3],"involves":[4],"the":[5,35,60,102,129,169,172,178,185,198,214,219,229,238,249],"assignment":[6],"of":[7,37,45,62,105,151,171,201,232,241,253,256],"dynamically":[8],"arriving":[9],"transporting":[11],"tasks":[12,92],"to":[13,55,59,97,122,167],"suitable":[14],"vehicles":[15,215],"in":[16],"real":[17],"time":[18,120],"for":[19,112,153,160,183],"minimizing":[20],"makespan":[21],"and":[22,109,164,192,251],"tardiness.":[23],"In":[24],"real-world":[25],"scenarios,":[26],"historical":[27,46,110],"task":[28,80],"records":[29,111],"are":[30,93],"usually":[31],"available,":[32],"which":[33,95,147],"enables":[34],"training":[36,113,181,191],"a":[38,114,139,149,244],"decision":[39],"policy":[40,116],"on":[41,189,223],"multiple":[42],"instances":[43,125,182,196,227],"consisting":[44],"records.":[47],"Recently,":[48],"reinforcement":[49],"learning":[50,130],"(RL)":[51],"has":[52],"been":[53],"applied":[54],"solve":[56],"DMH.":[57],"Due":[58],"occurrence":[61],"dynamic":[63],"events":[64],"such":[65],"as":[66],"new":[67],"tasks,":[68],"adaptability":[69],"is":[70,75,87,117],"highly":[71,127],"required.":[72],"Solving":[73],"DMH":[74],"challenging":[76],"since":[77],"constraints,":[78],"including":[79],"delay,":[81],"should":[82],"be":[83],"satisfied.":[84],"A":[85],"feedback":[86],"received":[88],"only":[89],"when":[90],"all":[91],"served,":[94],"leads":[96],"sparse":[98,162],"reward.":[99],"Besides,":[100,243],"making":[101],"best":[103],"use":[104],"limited":[106],"computational":[107],"resources":[108],"robust":[115,230],"crucial.":[118],"The":[119],"allocated":[121],"different":[123],"problem":[124],"would":[126],"impact":[128],"process.":[131],"To":[132],"tackle":[133],"those":[134],"challenges,":[135],"this":[136],"article":[137],"proposes":[138],"novel":[140],"adaptive":[141],"constrained":[142],"evolutionary":[143],"RL":[144],"(ACERL)":[145],"approach,":[146],"maintains":[148],"population":[150],"actors":[152],"diverse":[154],"exploration.":[155],"ACERL":[156,175,202,211],"accesses":[157],"each":[158,254],"actor":[159],"tackling":[161],"rewards":[163],"constraint":[165],"violation":[166],"restrict":[168],"behavior":[170],"policy.":[173,186],"Moreover,":[174],"adaptively":[176],"selects":[177],"most":[179],"beneficial":[180],"improving":[184],"Extensive":[187],"experiments":[188,222],"eight":[190,193],"unseen":[194,225],"test":[195],"demonstrate":[197],"outstanding":[199],"performance":[200,231],"compared":[203],"with":[204],"several":[205],"state-of-the-art":[206],"algorithms.":[207],"Policies":[208],"trained":[209],"by":[210],"can":[212],"schedule":[213],"while":[216],"fully":[217],"satisfying":[218],"constraints.":[220],"Additional":[221],"40":[224],"noised":[226],"show":[228],"ACERL.":[233,257],"Cross":[234],"validation":[235],"further":[236],"presents":[237],"overall":[239],"effectiveness":[240],"ACREL.":[242],"rigorous":[245],"ablation":[246],"study":[247],"highlights":[248],"coordination":[250],"benefits":[252],"ingredient":[255]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
