{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T17:28:28Z","timestamp":1781112508686,"version":"3.54.1"},"reference-count":56,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52275504"],"award-info":[{"award-number":["52275504"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52405564"],"award-info":[{"award-number":["52405564"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Swarm and Evolutionary Computation"],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1016\/j.swevo.2026.102283","type":"journal-article","created":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T22:20:32Z","timestamp":1768947632000},"page":"102283","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Dual-self-learning knowledge-based local search approach for lot-streaming flexible job shop scheduling with asynchronous assembly"],"prefix":"10.1016","volume":"101","author":[{"given":"Gan","family":"Jiang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiuhua","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lixin","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zikai","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1-4","key":"10.1016\/j.swevo.2026.102283_bib0001","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1007\/s00170-012-4343-5","article-title":"A discrete PSO for two-stage assembly scheduling problem","volume":"66","author":"Tian","year":"2012","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"10.1016\/j.swevo.2026.102283_bib0002","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2020.106280","article-title":"An efficient evolutionary grey wolf optimizer for multi-objective flexible job shop scheduling problem with hierarchical job precedence constraints","volume":"140","author":"Zhu","year":"2020","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.swevo.2026.102283_bib0003","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.110357","article-title":"Combining balancing, sequencing and buffer allocation decisions to improve the efficiency of mixed-model asynchronous assembly lines","volume":"194","author":"Tiacci","year":"2024","journal-title":"Comput. Ind. Eng."},{"issue":"8","key":"10.1016\/j.swevo.2026.102283_bib0004","doi-asserted-by":"crossref","first-page":"4899","DOI":"10.1109\/TSMC.2023.3256484","article-title":"A Cooperative Scatter Search With Reinforcement Learning Mechanism for the Distributed Permutation Flowshop Scheduling Problem With Sequence-Dependent Setup Times","volume":"53","author":"Zhao","year":"2023","journal-title":"IEEE Transact. Systems, Man, Cybernetics: Syst."},{"key":"10.1016\/j.swevo.2026.102283_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.105921","article-title":"An effective iterated local search algorithm for the distributed no-wait flowshop scheduling problem","volume":"120","author":"Avci","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.swevo.2026.102283_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2025.110983","article-title":"Multi-objective Human-robot collaborative batch scheduling in distributed hybrid flowshop via automatic design of local search-reconstruction-feedback algorithm","volume":"203","author":"He","year":"2025","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.swevo.2026.102283_bib0007","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1016\/j.jmsy.2022.10.013","article-title":"Inventory and total completion time minimization for assembly job-shop scheduling considering material integrity and assembly sequential constraint","volume":"65","author":"Cheng","year":"2022","journal-title":"J. Manuf. Syst."},{"issue":"1","key":"10.1016\/j.swevo.2026.102283_bib0008","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1111\/itor.12767","article-title":"An effective algorithm for flexible assembly job-shop scheduling with tight job constraints","volume":"29","author":"Lin","year":"2020","journal-title":"Int. Trans. Oper. Res."},{"issue":"23","key":"10.1016\/j.swevo.2026.102283_bib0009","doi-asserted-by":"crossref","first-page":"7216","DOI":"10.1080\/00207543.2020.1836421","article-title":"Multi-objective optimisation for energy-aware flexible job-shop scheduling problem with assembly operations","volume":"59","author":"Ren","year":"2020","journal-title":"Int. J. Prod. Res."},{"issue":"3","key":"10.1016\/j.swevo.2026.102283_bib0010","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1109\/TEM.2017.2785774","article-title":"Flexible Assembly Job-Shop Scheduling With Sequence-Dependent Setup Times and Part Sharing in a Dynamic Environment: Constraint Programming Model, Mixed-Integer Programming Model, and Dispatching Rules","volume":"65","author":"Zhang","year":"2018","journal-title":"IEEE Trans. Eng. Manage"},{"issue":"5","key":"10.1016\/j.swevo.2026.102283_bib0011","doi-asserted-by":"crossref","DOI":"10.1007\/s10878-023-01046-1","article-title":"Fuzzy cleaner production in assembly flexible job-shop scheduling with machine breakdown and batch transportation: Lagrangian relaxation","volume":"45","author":"Hajibabaei","year":"2023","journal-title":"J. Comb. Optim."},{"key":"10.1016\/j.swevo.2026.102283_bib0012","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1016\/j.jmsy.2025.02.002","article-title":"A Q-learning-based improved multi-objective genetic algorithm for solving distributed heterogeneous assembly flexible job shop scheduling problems with transfers","volume":"79","author":"Yang","year":"2025","journal-title":"J. Manuf. Syst."},{"key":"10.1016\/j.swevo.2026.102283_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.126441","article-title":"Multi-agent deep reinforcement learning-based approach for dynamic flexible assembly job shop scheduling with uncertain processing and transport times","volume":"270","author":"Wang","year":"2025","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.swevo.2026.102283_bib0014","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1016\/j.jmsy.2023.08.008","article-title":"Mathematical model and adaptive simulated annealing algorithm for mixed-model assembly job-shop scheduling with lot streaming","volume":"70","author":"Cheng","year":"2023","journal-title":"J. Manuf. Syst."},{"key":"10.1016\/j.swevo.2026.102283_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.cor.2019.104863","article-title":"A simheuristic approach for throughput maximization of asynchronous buffered stochastic mixed-model assembly lines","volume":"115","author":"Lopes","year":"2020","journal-title":"Comput. Oper. Res."},{"key":"10.1016\/j.swevo.2026.102283_bib0016","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.jmsy.2019.01.001","article-title":"Balancing and cyclical scheduling of asynchronous mixed-model assembly lines with parallel stations","volume":"50","author":"Lopes","year":"2019","journal-title":"J. Manuf. Syst."},{"key":"10.1016\/j.swevo.2026.102283_bib0017","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.ijpe.2018.06.012","article-title":"Balancing and cyclically sequencing synchronous, asynchronous, and hybrid unpaced assembly lines","volume":"203","author":"Lopes","year":"2018","journal-title":"Int. J. Prod. Econ."},{"key":"10.1016\/j.swevo.2026.102283_bib0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101731","article-title":"Combining meta-heuristics and Q-learning for scheduling lot-streaming hybrid flow shops with consistent sublots","volume":"91","author":"Lu","year":"2024","journal-title":"Swarm. Evol. Comput."},{"key":"10.1016\/j.swevo.2026.102283_bib0019","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2023.109209","article-title":"Guided shuffled frog-leaping algorithm for flexible job shop scheduling problem with variable sublots and overlapping in operations","volume":"180","author":"Yang","year":"2023","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.swevo.2026.102283_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2021.107305","article-title":"A collaborative variable neighborhood descent algorithm for the hybrid flowshop scheduling problem with consistent sublots","volume":"106","author":"Zhang","year":"2021","journal-title":"Appl. Soft. Comput."},{"key":"10.1016\/j.swevo.2026.102283_bib0021","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1016\/j.asoc.2017.04.062","article-title":"An effective ant colony optimization algorithm for multi-objective job-shop scheduling with equal-size lot-splitting","volume":"57","author":"Huang","year":"2017","journal-title":"Appl. Soft. Comput."},{"key":"10.1016\/j.swevo.2026.102283_bib0022","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2023.109424","article-title":"Dynamic opportunistic maintenance grouping in a lot streaming based job-shop scheduling problem","volume":"183","author":"Abdollahzadeh-Sangroudi","year":"2023","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.swevo.2026.102283_bib0023","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2022.108745","article-title":"Lot streaming in hybrid flowshop scheduling problem by considering equal and consistent sublots under machine capability and limited waiting time constraint","volume":"173","author":"G\u00fcrsoy Y\u0131lmaz","year":"2022","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.swevo.2026.102283_bib0024","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.110290","article-title":"Flexible job-shop scheduling problem with variable lot-sizing: An early release policy-based matheuristic","volume":"193","author":"Fan","year":"2024","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.swevo.2026.102283_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2022.101139","article-title":"Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time","volume":"74","author":"Li","year":"2022","journal-title":"Swarm. Evol. Comput."},{"issue":"3","key":"10.1016\/j.swevo.2026.102283_bib0026","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1007\/s10845-015-1039-3","article-title":"An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem","volume":"29","author":"Nouiri","year":"2015","journal-title":"J. Intell. Manuf."},{"key":"10.1016\/j.swevo.2026.102283_bib0027","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.119359","article-title":"Hybrid genetic algorithm with variable neighborhood search for flexible job shop scheduling problem in a machining system","volume":"215","author":"Sun","year":"2023","journal-title":"Expert. Syst. Appl."},{"issue":"1","key":"10.1016\/j.swevo.2026.102283_bib0028","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1109\/TASE.2019.2945717","article-title":"A Knowledge-Based Cuckoo Search Algorithm to Schedule a Flexible Job Shop With Sequencing Flexibility","volume":"18","author":"Cao","year":"2021","journal-title":"IEEE Trans. Automation Sci. Eng."},{"key":"10.1016\/j.swevo.2026.102283_bib0029","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.107458","article-title":"A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem","volume":"128","author":"Yu","year":"2024","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.swevo.2026.102283_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.121149","article-title":"Knowledge-driven two-stage memetic algorithm for energy-efficient flexible job shop scheduling with machine breakdowns","volume":"235","author":"Luo","year":"2024","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.swevo.2026.102283_bib0031","series-title":"2024 Second International Conference Computational and Characterization Techniques in Engineering &amp","article-title":"Automated machine learning to streamline data-driven industrial application development","author":"Addula","year":"2024"},{"issue":"1-2","key":"10.1016\/j.swevo.2026.102283_bib0032","doi-asserted-by":"crossref","first-page":"1169","DOI":"10.1007\/s00170-022-08761-9","article-title":"Towards big industrial data mining through explainable automated machine learning","volume":"120","author":"Garouani","year":"2022","journal-title":"Int. J. Adv. Manuf. Technol."},{"issue":"12","key":"10.1016\/j.swevo.2026.102283_bib0033","doi-asserted-by":"crossref","first-page":"12675","DOI":"10.1109\/TCYB.2021.3086181","article-title":"A self-learning discrete Jaya algorithm for multiobjective energy-efficient distributed no-idle flow-shop scheduling problem in heterogeneous factory system","volume":"52","author":"Zhao","year":"2022","journal-title":"IEEe Trans. Cybern."},{"key":"10.1016\/j.swevo.2026.102283_bib0034","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.121050","article-title":"A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation","volume":"234","author":"Zhang","year":"2023","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.swevo.2026.102283_bib0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2020.106778","article-title":"A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem","volume":"149","author":"Chen","year":"2020","journal-title":"Comput. Ind. Eng."},{"issue":"5","key":"10.1016\/j.swevo.2026.102283_bib0036","doi-asserted-by":"crossref","first-page":"3337","DOI":"10.1109\/TCYB.2022.3192112","article-title":"A Hyperheuristic with Q-learning for the multiobjective energy-efficient distributed blocking flow shop scheduling problem","volume":"53","author":"Zhao","year":"2023","journal-title":"IEEe Trans. Cybern."},{"key":"10.1016\/j.swevo.2026.102283_bib0037","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.107729","article-title":"Production costs and total completion time minimization for three-stage mixed-model assembly job shop scheduling with lot streaming and batch transfer","volume":"130","author":"Cheng","year":"2024","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"4","key":"10.1016\/j.swevo.2026.102283_bib0038","doi-asserted-by":"crossref","first-page":"614","DOI":"10.1080\/0305215X.2021.1887168","article-title":"Scheduling in a flexible job shop followed by some parallel assembly stations considering lot streaming","volume":"54","author":"Daneshamooz","year":"2021","journal-title":"Eng. Optim."},{"key":"10.1016\/j.swevo.2026.102283_bib0039","first-page":"1","article-title":"A hybrid algorithm based on particle swarm optimization and artificial immune for an assembly job shop scheduling problem","volume":"2016","author":"Du","year":"2016","journal-title":"Math. Probl. Eng."},{"issue":"4","key":"10.1016\/j.swevo.2026.102283_bib0040","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1007\/s12293-018-00278-7","article-title":"An improved differential evolution algorithm for solving a distributed assembly flexible job shop scheduling problem","volume":"11","author":"Wu","year":"2018","journal-title":"Memet. Comput."},{"key":"10.1016\/j.swevo.2026.102283_bib0041","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2022.108293","article-title":"Scheduling flexible manufacturing cell with no-idle flow-lines and job-shop via Q-learning-based genetic algorithm","volume":"169","author":"Cheng","year":"2022","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.swevo.2026.102283_bib0042","unstructured":"S. Nourali and N. Imanipour, \"A particle swarm optimization-based algorithm for exible assembly job shop scheduling problem with sequence dependent setup times,\" 2014."},{"key":"10.1016\/j.swevo.2026.102283_bib0043","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.120043","article-title":"A teaching-learning-based optimization with feedback for L-R fuzzy flexible assembly job shop scheduling problem with batch splitting","volume":"224","author":"Sun","year":"2023","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.swevo.2026.102283_bib0044","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2023.110658","article-title":"A reinforcement learning-artificial bee colony algorithm for flexible job-shop scheduling problem with lot streaming","volume":"146","author":"Li","year":"2023","journal-title":"Appl. Soft. Comput."},{"key":"10.1016\/j.swevo.2026.102283_bib0045","first-page":"1","article-title":"Knowledge-Based Lot-Splitting Optimization Method for Flexible Job Shops Considering Energy Consumption","author":"Tian","year":"2024","journal-title":"IEEE Trans. Automation Sci. Eng."},{"issue":"11","key":"10.1016\/j.swevo.2026.102283_bib0046","doi-asserted-by":"crossref","first-page":"3229","DOI":"10.1016\/j.cor.2005.12.002","article-title":"A tabu search algorithm with a new neighborhood structure for the job shop scheduling problem","volume":"34","author":"Zhang","year":"2007","journal-title":"Comput. Oper. Res."},{"key":"10.1016\/j.swevo.2026.102283_bib0047","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.110829","article-title":"Solving multi-objective energy-saving flexible job shop scheduling problem by hybrid search genetic algorithm","volume":"200","author":"Hao","year":"2025","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.swevo.2026.102283_bib0048","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2023.109513","article-title":"A decomposition-based memetic algorithm to solve the biobjective green flexible job shop scheduling problem with interval type-2 fuzzy processing time","volume":"183","author":"Yang","year":"2023","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.swevo.2026.102283_bib0049","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2019.05.007","article-title":"Total flow time minimization in no-wait job shop using a hybrid discrete group search optimizer","volume":"81","author":"Deng","year":"2019","journal-title":"Appl. Soft. Comput."},{"key":"10.1016\/j.swevo.2026.102283_bib0050","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.neucom.2020.07.061","article-title":"On hyperparameter optimization of machine learning algorithms: Theory and practice","volume":"415","author":"Yang","year":"2020","journal-title":"Neurocomputing."},{"key":"10.1016\/j.swevo.2026.102283_bib0051","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.110166","article-title":"Integrated energy management for hybrid electric vehicles: a Bellman neural network approach","volume":"145","author":"Li","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.swevo.2026.102283_bib0052","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.knosys.2019.05.020","article-title":"Adaptive and large-scale service composition based on deep reinforcement learning","volume":"180","author":"Wang","year":"2019","journal-title":"Knowl. Based. Syst."},{"key":"10.1016\/j.swevo.2026.102283_bib0053","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.110309","article-title":"Toward automated algorithm configuration for distributed hybrid flow shop scheduling with multiprocessor tasks","volume":"264","author":"Gholami","year":"2023","journal-title":"Knowl. Based. Syst."},{"key":"10.1016\/j.swevo.2026.102283_bib0054","doi-asserted-by":"crossref","first-page":"1009","DOI":"10.1016\/j.jmsy.2024.11.003","article-title":"AdaBoost-inspired co-evolution differential evolution for reconfigurable flexible job shop scheduling considering order splitting","volume":"77","author":"Cheng","year":"2024","journal-title":"J. Manuf. Syst."},{"issue":"10","key":"10.1016\/j.swevo.2026.102283_bib0055","doi-asserted-by":"crossref","first-page":"3290","DOI":"10.1080\/00207543.2019.1581954","article-title":"Learning dispatching rules using random forest in flexible job shop scheduling problems","volume":"57","author":"Jun","year":"2019","journal-title":"Int. J. Prod. Res."},{"key":"10.1016\/j.swevo.2026.102283_bib0056","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2021.107632","article-title":"Adaptive neighborhood simulated annealing for sustainability-oriented single machine scheduling with deterioration effect","volume":"110","author":"Salama","year":"2021","journal-title":"Appl. Soft. Comput."}],"container-title":["Swarm and Evolutionary Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2210650226000039?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2210650226000039?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T06:01:47Z","timestamp":1771308107000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2210650226000039"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":56,"alternative-id":["S2210650226000039"],"URL":"https:\/\/doi.org\/10.1016\/j.swevo.2026.102283","relation":{},"ISSN":["2210-6502"],"issn-type":[{"value":"2210-6502","type":"print"}],"subject":[],"published":{"date-parts":[[2026,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Dual-self-learning knowledge-based local search approach for lot-streaming flexible job shop scheduling with asynchronous assembly","name":"articletitle","label":"Article Title"},{"value":"Swarm and Evolutionary Computation","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.swevo.2026.102283","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"102283"}}