{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T00:14:44Z","timestamp":1775693684598,"version":"3.50.1"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2025,5,17]],"date-time":"2025-05-17T00:00:00Z","timestamp":1747440000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,5,17]],"date-time":"2025-05-17T00:00:00Z","timestamp":1747440000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Complex Intell. Syst."],"published-print":{"date-parts":[[2025,7]]},"DOI":"10.1007\/s40747-025-01907-8","type":"journal-article","created":{"date-parts":[[2025,5,17]],"date-time":"2025-05-17T07:29:17Z","timestamp":1747466957000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multiobjective integrated scheduling of disassembly and reprocessing operations considering product structures and stochastic processing time via reinforcement learning-based evolutionary algorithms"],"prefix":"10.1007","volume":"11","author":[{"given":"Yaping","family":"Fu","sequence":"first","affiliation":[]},{"given":"Fuquan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zhengyuan","family":"Li","sequence":"additional","affiliation":[]},{"given":"Guangdong","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Duc Truong","family":"Pham","sequence":"additional","affiliation":[]},{"given":"Hao","family":"Sun","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,5,17]]},"reference":[{"key":"1907_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2023.138078","volume":"417","author":"C Franz\u00e8","year":"2023","unstructured":"Franz\u00e8 C, Pesce D, Kalverkamp M, Pehlken A (2023) \u201cScale without mass\u201d: a decision-making tool for scaling remanufacturing practices in the white goods industry. J Clean Prod 417:138078. https:\/\/doi.org\/10.1016\/j.jclepro.2023.138078","journal-title":"J Clean Prod"},{"key":"1907_CR2","doi-asserted-by":"publisher","first-page":"2499","DOI":"10.1080\/00207543.2023.2218942","volume":"62","author":"X Schepler","year":"2024","unstructured":"Schepler X, Absi N, Jeanjean A (2024) Refurbishment and remanufacturing planning model for pre-owned consumer electronics. Int J Prod Res 62:2499\u20132521. https:\/\/doi.org\/10.1080\/00207543.2023.2218942","journal-title":"Int J Prod Res"},{"issue":"5","key":"1907_CR3","doi-asserted-by":"publisher","first-page":"3274","DOI":"10.1109\/TFUZZ.2024.3373792","volume":"32","author":"LB Ma","year":"2024","unstructured":"Ma LB, Li N, Zhu PC et al (2024) A novel fuzzy neural network architecture search framework for defect recognition with uncertainties. IEEE Trans Fuzzy Syst 32(5):3274\u20133285. https:\/\/doi.org\/10.1109\/TFUZZ.2024.3373792","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1907_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2024.143771","volume":"476","author":"J Wang","year":"2024","unstructured":"Wang J, Zheng HD, Zhao SY, Zhang Q (2024) Energy-aware remanufacturing process planning and scheduling problem using reinforcement learning-based particle swarm optimization algorithm. J Clean Prod 476:143771. https:\/\/doi.org\/10.1016\/j.jclepro.2024.143771","journal-title":"J Clean Prod"},{"key":"1907_CR5","doi-asserted-by":"publisher","first-page":"3493","DOI":"10.1080\/00207543.2020.1868598","volume":"59","author":"SK Ong","year":"2021","unstructured":"Ong SK, Chang MML, Nee AYC (2021) Product disassembly sequence planning: state-of-the-art, challenges, opportunities and future directions. Int J Prod Res 59:3493\u20133508. https:\/\/doi.org\/10.1080\/00207543.2020.1868598","journal-title":"Int J Prod Res"},{"key":"1907_CR6","doi-asserted-by":"publisher","first-page":"1073","DOI":"10.1016\/j.ejor.2023.01.063","volume":"309","author":"XP Xu","year":"2023","unstructured":"Xu XP, Yan LL, Choi TM, Cheng TCE (2023) When is it wise to use blockchain for platform operations with remanufacturing? Eur J Oper Res 309:1073\u20131090. https:\/\/doi.org\/10.1016\/j.ejor.2023.01.063","journal-title":"Eur J Oper Res"},{"key":"1907_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2023.109282","volume":"180","author":"C Mej\u00eda-Moncayo","year":"2023","unstructured":"Mej\u00eda-Moncayo C, Kenn\u00e9 JP, Hof LA (2023) On the development of a smart architecture for a sustainable manufacturing-remanufacturing system: a literature review approach. Comput Ind Eng 180:109282. https:\/\/doi.org\/10.1016\/j.cie.2023.109282","journal-title":"Comput Ind Eng"},{"key":"1907_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2024.143771","volume":"278","author":"YP Fu","year":"2021","unstructured":"Fu YP, Zhou MC, Guo XW, Qi L (2021) Stochastic multi-objective integrated disassembly-reprocessing-reassembly scheduling via fruit fly optimization algorithm. J Clean Prod 278:123364. https:\/\/doi.org\/10.1016\/j.jclepro.2024.143771","journal-title":"J Clean Prod"},{"key":"1907_CR9","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb K, Pratap A, Agarwal S, Meyarivan TAMT (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6:182\u2013197. https:\/\/doi.org\/10.1109\/4235.996017","journal-title":"IEEE Trans Evol Comput"},{"key":"1907_CR10","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","volume":"11","author":"QF Zhang","year":"2007","unstructured":"Zhang QF, Li H (2007) MOEA\/D: A multiobjective evolutionary algorithm based on decomposition. IEEE Trans Evol Comput 11:712\u2013731. https:\/\/doi.org\/10.1109\/TEVC.2007.892759","journal-title":"IEEE Trans Evol Comput"},{"key":"1907_CR11","doi-asserted-by":"publisher","first-page":"7415","DOI":"10.1109\/TCYB.2020.3042896","volume":"52","author":"KP Wang","year":"2022","unstructured":"Wang KP, Li XY, Gao L et al (2022) A discrete artificial bee colony algorithm for multiobjective disassembly line balancing of end-of-life products. IEEE Trans Cyber 52:7415\u20137426. https:\/\/doi.org\/10.1109\/TCYB.2020.3042896","journal-title":"IEEE Trans Cyber"},{"key":"1907_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2023.109014","volume":"265","author":"ZA \u00c7il","year":"2023","unstructured":"\u00c7il ZA, \u00d6ztop H, Kenger ZD, Kizilay D (2023) Integrating distributed disassembly line balancing and vehicle routing problem in supply chain: Integer programming, constraint programming, and heuristic algorithms. Int J Prod Econ 265:109014. https:\/\/doi.org\/10.1016\/j.ijpe.2023.109014","journal-title":"Int J Prod Econ"},{"key":"1907_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2023.102650","volume":"86","author":"TF Wu","year":"2024","unstructured":"Wu TF, Zhang ZQ, Zeng YQ et al (2024) Techno-economic and environmental benefits-oriented human-robot collaborative disassembly line balancing optimization in remanufacturing. Robot Comput Integr Manuf 86:102650. https:\/\/doi.org\/10.1016\/j.rcim.2023.102650","journal-title":"Robot Comput Integr Manuf"},{"key":"1907_CR14","doi-asserted-by":"publisher","first-page":"438","DOI":"10.1109\/TSMC.2022.3185889","volume":"53","author":"ML Lee","year":"2022","unstructured":"Lee ML, Liu WS, Behdad S et al (2022) Robot-assisted disassembly sequence planning with real-time human motion prediction. IEEE Trans Syst Man Cybern Syst 53:438\u2013450. https:\/\/doi.org\/10.1109\/TSMC.2022.3185889","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"1907_CR15","doi-asserted-by":"publisher","first-page":"2061","DOI":"10.1109\/TCSS.2022.3217101","volume":"10","author":"XW Guo","year":"2022","unstructured":"Guo XW, Wei TT, Wang JC et al (2022) Multiobjective U-shaped disassembly line balancing problem considering human fatigue index and an efficient solution. IEEE Trans Comput Soc Syst 10:2061\u20132073. https:\/\/doi.org\/10.1109\/TCSS.2022.3217101","journal-title":"IEEE Trans Comput Soc Syst"},{"key":"1907_CR16","doi-asserted-by":"publisher","first-page":"1041","DOI":"10.1109\/TSMC.2021.3049323","volume":"52","author":"YP Fu","year":"2021","unstructured":"Fu YP, Zhou MC, Guo XW et al (2021) Multiverse optimization algorithm for stochastic biobjective disassembly sequence planning subject to operation failures. IEEE Trans Syst Man Cybern Syst 52:1041\u20131051. https:\/\/doi.org\/10.1109\/TSMC.2021.3049323","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"1907_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2023.109646","volume":"185","author":"YQ Zeng","year":"2023","unstructured":"Zeng YQ, Zhang ZQ, Liang W, Zhang Y (2023) Balancing optimization for disassembly line of mixed homogeneous products with hybrid disassembly mode. Comput Ind Eng 185:109646. https:\/\/doi.org\/10.1016\/j.cie.2023.109646","journal-title":"Comput Ind Eng"},{"key":"1907_CR18","doi-asserted-by":"publisher","first-page":"7148","DOI":"10.1109\/TII.2022.3193866","volume":"19","author":"GD Tian","year":"2022","unstructured":"Tian GD, Zhang C, Fathollahi-Fard AM et al (2022) An enhanced social engineering optimizer for solving an energy-efficient disassembly line balancing problem based on bucket brigades and cloud theory. IEEE Trans Ind Inf 19:7148\u20137159. https:\/\/doi.org\/10.1109\/TII.2022.3193866","journal-title":"IEEE Trans Ind Inf"},{"key":"1907_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2022.101821","volume":"55","author":"L Guo","year":"2023","unstructured":"Guo L, Zhang ZQ, Zhang XF (2023) Human\u2013robot collaborative partial destruction disassembly sequence planning method for end-of-life product driven by multi-failures. Adv Eng Inf 55:101821. https:\/\/doi.org\/10.1016\/j.aei.2022.101821","journal-title":"Adv Eng Inf"},{"key":"1907_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.107721","volume":"130","author":"P Liang","year":"2024","unstructured":"Liang P, Fu YP, Gao KZ (2024) Multi-product disassembly line balancing optimization method for high disassembly profit and low energy consumption with noise pollution constraints. Eng Appl Artif Intell 130:107721. https:\/\/doi.org\/10.1016\/j.engappai.2023.107721","journal-title":"Eng Appl Artif Intell"},{"key":"1907_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2023.101338","volume":"80","author":"YX Ren","year":"2023","unstructured":"Ren YX, Gao KZ, Fu YP et al (2023) A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems. Swarm Evol Comput 80:101338. https:\/\/doi.org\/10.1016\/j.swevo.2023.101338","journal-title":"Swarm Evol Comput"},{"key":"1907_CR22","doi-asserted-by":"publisher","first-page":"1688","DOI":"10.1080\/00207543.2020.1868600","volume":"60","author":"J He","year":"2022","unstructured":"He J, Chu F, Dolgui A et al (2022) Integrated stochastic disassembly line balancing and planning problem with machine specificity. Int J Prod Res 60:1688\u20131708. https:\/\/doi.org\/10.1080\/00207543.2020.1868600","journal-title":"Int J Prod Res"},{"key":"1907_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2024.109927","volume":"189","author":"F Ehm","year":"2024","unstructured":"Ehm F (2024) Scheduling and process planning for the dismantling shop with flexible disassembly mode and recovery level. Comput Ind Eng 189:109927. https:\/\/doi.org\/10.1016\/j.cie.2024.109927","journal-title":"Comput Ind Eng"},{"key":"1907_CR24","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1080\/0305215X.2017.1391240","volume":"50","author":"KZ Gao","year":"2018","unstructured":"Gao KZ, Wang L, Luo JP et al (2018) Discrete harmony search algorithm for scheduling and rescheduling the reprocessing problems in remanufacturing: a case study. Eng Optim 50:965\u2013981. https:\/\/doi.org\/10.1080\/0305215X.2017.1391240","journal-title":"Eng Optim"},{"key":"1907_CR25","doi-asserted-by":"publisher","first-page":"6885","DOI":"10.1080\/00207543.2010.507609","volume":"49","author":"JM Yu","year":"2011","unstructured":"Yu JM, Kim JS, Lee DH (2011) Scheduling algorithms to minimise the total family flow time for job shops with job families. Int J Prod Res 49:6885\u20136903. https:\/\/doi.org\/10.1080\/00207543.2010.507609","journal-title":"Int J Prod Res"},{"key":"1907_CR26","doi-asserted-by":"publisher","first-page":"1719","DOI":"10.1080\/0305215X.2016.1261247","volume":"49","author":"JS Kim","year":"2017","unstructured":"Kim JS, Park JH, Lee DH (2017) Iterated greedy algorithms to minimize the total family flow time for job-shop scheduling with job families and sequence-dependent set-ups. Eng Optim 49:1719\u20131732. https:\/\/doi.org\/10.1080\/0305215X.2016.1261247","journal-title":"Eng Optim"},{"key":"1907_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2021.107219","volume":"156","author":"JX Shi","year":"2021","unstructured":"Shi JX, Zhang WY, Zhang S, Chen J (2021) A new bifuzzy optimization method for remanufacturing scheduling using extended discrete particle swarm optimization algorithm. Comput Ind Eng 156:107219. https:\/\/doi.org\/10.1016\/j.cie.2021.107219","journal-title":"Comput Ind Eng"},{"key":"1907_CR28","doi-asserted-by":"publisher","first-page":"132429","DOI":"10.1109\/ACCESS.2021.3114712","volume":"9","author":"XQ Liu","year":"2021","unstructured":"Liu XQ, Chen J, Huang XL et al (2021) A new job shop scheduling method for remanufacturing systems using extended artificial bee colony algorithm. IEEE Access 9:132429\u2013132441. https:\/\/doi.org\/10.1109\/ACCESS.2021.3114712","journal-title":"IEEE Access"},{"key":"1907_CR29","doi-asserted-by":"publisher","DOI":"10.1080\/0305215X.2023.2296538","author":"YP Fu","year":"2024","unstructured":"Fu YP, Zhang ZP, Liang P et al (2024) Integrated remanufacturing scheduling of disassembly, reprocessing and reassembly considering energy efficiency and stochasticity through group teaching optimization and simulation approaches. Eng Optim. https:\/\/doi.org\/10.1080\/0305215X.2023.2296538","journal-title":"Eng Optim"},{"key":"1907_CR30","doi-asserted-by":"publisher","first-page":"3414","DOI":"10.1109\/TSMC.2022.3225443","volume":"53","author":"WY Zhang","year":"2022","unstructured":"Zhang WY, Shi JX, Zhang S, Chen MJ (2022) Scenario-based robust remanufacturing scheduling problem using improved biogeography-based optimization algorithm. IEEE Trans Syst Man Cybe Syst 53:3414\u20133427. https:\/\/doi.org\/10.1109\/TSMC.2022.3225443","journal-title":"IEEE Trans Syst Man Cybe Syst"},{"key":"1907_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2024.102802","volume":"62","author":"WK Zhang","year":"2024","unstructured":"Zhang WK, Zheng YF, Ma YS, Ahmad R (2024) A multi-phase integrated scheduling method for cloud remanufacturing systems. Adv Eng Inf 62:102802. https:\/\/doi.org\/10.1016\/j.aei.2024.102802","journal-title":"Adv Eng Inf"},{"key":"1907_CR32","doi-asserted-by":"publisher","first-page":"1476","DOI":"10.1080\/0305215X.2021.1940990","volume":"54","author":"HH Doh","year":"2022","unstructured":"Doh HH, Lee DH (2022) Integrated disassembly and reprocessing lot-sizing for multi-level structured products in remanufacturing systems. Eng Optim 54:1476\u20131493. https:\/\/doi.org\/10.1080\/0305215X.2021.1940990","journal-title":"Eng Optim"},{"key":"1907_CR33","doi-asserted-by":"publisher","first-page":"1819","DOI":"10.1080\/00207543.2014.962112","volume":"53","author":"MG Kim","year":"2015","unstructured":"Kim MG, Yu JM, Lee DH (2015) Scheduling algorithms for remanufacturing systems with parallel flow-shop-type reprocessing lines. Int J Prod Res 53:1819\u20131831. https:\/\/doi.org\/10.1080\/00207543.2014.962112","journal-title":"Int J Prod Res"},{"key":"1907_CR34","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1016\/j.cie.2018.04.048","volume":"120","author":"JM Yu","year":"2018","unstructured":"Yu JM, Lee DH (2018) Scheduling algorithms for job-shop-type remanufacturing systems with component matching requirement. Comput Ind Eng 120:266\u2013278. https:\/\/doi.org\/10.1016\/j.cie.2018.04.048","journal-title":"Comput Ind Eng"},{"key":"1907_CR35","doi-asserted-by":"publisher","DOI":"10.1007\/s11356-021-17292-x","author":"WJ Wang","year":"2021","unstructured":"Wang WJ, Tian GD, Zhang HH et al (2021) Modeling and scheduling for remanufacturing systems with disassembly, reprocessing, and reassembly considering total energy consumption. Environ Sci Pollut Res. https:\/\/doi.org\/10.1007\/s11356-021-17292-x","journal-title":"Environ Sci Pollut Res"},{"key":"1907_CR36","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/j.jmsy.2022.12.008","volume":"66","author":"WK Zhang","year":"2023","unstructured":"Zhang WK, Zheng YF, Ahmad R (2023) An energy-efficient multi-objective scheduling for flexible job-shop-type remanufacturing system. Intell Manuf 66:211\u2013232. https:\/\/doi.org\/10.1016\/j.jmsy.2022.12.008","journal-title":"Intell Manuf"},{"key":"1907_CR37","doi-asserted-by":"publisher","first-page":"2963","DOI":"10.1007\/s10845-022-01969-2","volume":"34","author":"WK Zhang","year":"2023","unstructured":"Zhang WK, Zheng YF, Ahmad R (2023) The integrated process planning and scheduling of flexible job-shop-type remanufacturing systems using improved artificial bee colony algorithm. Intell Manuf 34:2963\u20132988. https:\/\/doi.org\/10.1007\/s10845-022-01969-2","journal-title":"Intell Manuf"},{"key":"1907_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2023.109419","volume":"182","author":"J Guo","year":"2023","unstructured":"Guo J, Zou JF, Du BG, Wang KP (2023) Integrated scheduling for remanufacturing system considering component commonality using improved multi-objective genetic algorithm. Comput Ind Eng 182:109419. https:\/\/doi.org\/10.1016\/j.cie.2023.109419","journal-title":"Comput Ind Eng"},{"key":"1907_CR39","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121309","volume":"237","author":"GD Tian","year":"2024","unstructured":"Tian GD, Wang WJ, Zhang HH et al (2024) Multi-objective optimization of energy-efficient remanufacturing system scheduling problem with lot-streaming production mode. Expert Syst Appl 237:121309. https:\/\/doi.org\/10.1016\/j.eswa.2023.121309","journal-title":"Expert Syst Appl"},{"key":"1907_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2024.142916","author":"J Guo","year":"2024","unstructured":"Guo J, Guo WP, Du BG et al (2024) A multi-objective integrated scheduling of remanufacturing system considering time window constrained outsourcing option. J Clean Prod. https:\/\/doi.org\/10.1016\/j.jclepro.2024.142916","journal-title":"J Clean Prod"},{"key":"1907_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ejor.2023.02.001","volume":"312","author":"P Perez-Gonzalez","year":"2024","unstructured":"Perez-Gonzalez P, Framinan JM (2024) A review and classification on distributed permutation flowshop scheduling problems. Eur J Oper Res 312:1\u201321. https:\/\/doi.org\/10.1016\/j.ejor.2023.02.001","journal-title":"Eur J Oper Res"},{"key":"1907_CR42","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2023.106304","volume":"158","author":"AM Fathollahi-Fard","year":"2023","unstructured":"Fathollahi-Fard AM, Tian G, Ke H et al (2023) Efficient multi-objective metaheuristic algorithm for sustainable harvest planning problem. Comput Oper Res 158:106304. https:\/\/doi.org\/10.1016\/j.cor.2023.106304","journal-title":"Comput Oper Res"},{"key":"1907_CR43","doi-asserted-by":"publisher","first-page":"3207","DOI":"10.1109\/TSMC.2024.3358383","volume":"54","author":"FQ Zhao","year":"2024","unstructured":"Zhao FQ, Zhuang CX, Wang L, Dong CX (2024) An iterative greedy algorithm with Q-learning mechanism for the multiobjective distributed no-idle permutation flowshop scheduling. IEEE Trans Syst Man Cybern Syst 54:3207\u20133219. https:\/\/doi.org\/10.1109\/TSMC.2024.3358383","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"5","key":"1907_CR44","doi-asserted-by":"publisher","first-page":"748","DOI":"10.1002\/tee.22625","volume":"13","author":"YP Fu","year":"2018","unstructured":"Fu YP, Tian GD, Li ZW, Wang ZS (2018) Parallel machine scheduling with dynamic resource allocation via a master\u2013slave genetic algorithm. IEEJ Trans Electr Electron Eng 13(5):748\u2013756. https:\/\/doi.org\/10.1002\/tee.22625","journal-title":"IEEJ Trans Electr Electron Eng"},{"key":"1907_CR45","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1007\/s11047-016-9602-1","volume":"18","author":"YP Fu","year":"2019","unstructured":"Fu YP, Wang HF, Huang M, Wang JW (2019) A decomposition based multiobjective genetic algorithm with adaptive multipopulation strategy for flowshop scheduling problem. Nat Comput 18:757\u2013768. https:\/\/doi.org\/10.1007\/s11047-016-9602-1","journal-title":"Nat Comput"},{"key":"1907_CR46","doi-asserted-by":"publisher","first-page":"1706","DOI":"10.1109\/TITS.2023.3315785","volume":"25","author":"YP Fu","year":"2024","unstructured":"Fu YP, Ma XM, Gao KZ et al (2024) Multi-objective home health care routing and scheduling with sharing service via a problem-specific knowledge-based artificial bee colony algorithm. IEEE Trans Intell Transp Syst 25:1706\u20131719. https:\/\/doi.org\/10.1109\/TITS.2023.3315785","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"1907_CR47","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2024.2356628","author":"YP Fu","year":"2024","unstructured":"Fu YP, Gao KZ, Wang L et al (2024) Scheduling stochastic distributed flexible job shops using an multi-objective evolutionary algorithm with simulation evaluation. Int J Prod Res. https:\/\/doi.org\/10.1080\/00207543.2024.2356628","journal-title":"Int J Prod Res"},{"key":"1907_CR48","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1162\/evco.1999.7.1.1","volume":"7","author":"C Bierwirth","year":"1999","unstructured":"Bierwirth C, Mattfeld DC (1999) Production scheduling and rescheduling with genetic algorithms. Evol Comput 7:1\u201317. https:\/\/doi.org\/10.1162\/evco.1999.7.1.1","journal-title":"Evol Comput"},{"key":"1907_CR49","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2024.3449413","author":"JQ Li","year":"2024","unstructured":"Li JQ, Li JK, Gao KZ, Duan PY (2024) A hybrid graph-based imitation learning method for a realistic distributed hybrid flow shop with family setup time. IEEE Trans Syst Man Cybern Syst. https:\/\/doi.org\/10.1109\/TSMC.2024.3449413","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"1907_CR50","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2024.3443874","author":"XR Tao","year":"2024","unstructured":"Tao XR, Pan QK, Gao L (2024) An iterated greedy algorithm with reinforcement learning for distributed hybrid flowshop problems with job merging. IEEE Trans Evol Comput. https:\/\/doi.org\/10.1109\/TEVC.2024.3443874","journal-title":"IEEE Trans Evol Comput"},{"key":"1907_CR51","doi-asserted-by":"publisher","first-page":"257","DOI":"10.23919\/CSMS.2021.0027","volume":"1","author":"L Wang","year":"2021","unstructured":"Wang L, Pan ZX, Wang JJ (2021) A review of reinforcement learning based intelligent optimization for manufacturing scheduling. Complex Syst Model Simul 1:257\u2013270. https:\/\/doi.org\/10.23919\/CSMS.2021.0027","journal-title":"Complex Syst Model Simul"},{"key":"1907_CR52","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2024.109780","volume":"120","author":"YP Fu","year":"2024","unstructured":"Fu YP, Wang YF, Gao KZ, Huang M (2024) Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems. Comput Electr Eng 120:109780. https:\/\/doi.org\/10.1016\/j.compeleceng.2024.109780","journal-title":"Comput Electr Eng"},{"key":"1907_CR53","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2024.110484","volume":"196","author":"ZP Zhang","year":"2024","unstructured":"Zhang ZP, Fu YP, Gao KZ et al (2024) A learning-driven multi-objective cooperative artificial bee colony algorithm for distributed flexible job shop scheduling problems with preventive maintenance and transportation operations. Comput Ind Eng 196:110484. https:\/\/doi.org\/10.1016\/j.cie.2024.110484","journal-title":"Comput Ind Eng"},{"key":"1907_CR54","doi-asserted-by":"publisher","first-page":"2456","DOI":"10.1109\/TII.2018.2884845","volume":"15","author":"GD Tian","year":"2018","unstructured":"Tian GD, Ren YP, Feng YX et al (2018) Modeling and planning for dual-objective selective disassembly using AND\/OR graph and discrete artificial bee colony. IEEE Trans Ind Inform 15:2456\u20132468. https:\/\/doi.org\/10.1109\/TII.2018.2884845","journal-title":"IEEE Trans Ind Inform"},{"key":"1907_CR55","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2023.109217","volume":"179","author":"YS Hou","year":"2023","unstructured":"Hou YS, Wang HF, Fu YP et al (2023) Multi-objective brain storm optimization for integrated scheduling of distributed flow shop and distribution with maximal processing quality and minimal total weighted earliness and tardiness. Comput Ind Eng 179:109217. https:\/\/doi.org\/10.1016\/j.cie.2023.109217","journal-title":"Comput Ind Eng"},{"key":"1907_CR56","volume-title":"Design and analysis of experiments","author":"DC Montgomery","year":"2017","unstructured":"Montgomery DC (2017) Design and analysis of experiments. Wiley, Hoboken"},{"key":"1907_CR57","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1080\/01621459.1937.10503522","volume":"32","author":"M Friedman","year":"1937","unstructured":"Friedman M (1937) The use of ranks to avoid the assumption of normality implicit in the analysis of variance. J Am Stat Assoc 32:675\u2013701. https:\/\/doi.org\/10.1080\/01621459.1937.10503522","journal-title":"J Am Stat Assoc"},{"key":"1907_CR58","doi-asserted-by":"publisher","first-page":"41","DOI":"10.2307\/3002011","volume":"1","author":"F Wilcoxon","year":"1945","unstructured":"Wilcoxon F (1945) Some uses of statistics in plant pathology. Biometr Bull 1:41\u201345. https:\/\/doi.org\/10.2307\/3002011","journal-title":"Biometr Bull"},{"issue":"5","key":"1907_CR59","doi-asserted-by":"publisher","first-page":"1400","DOI":"10.1109\/TC.2024.3365949","volume":"73","author":"LB Ma","year":"2024","unstructured":"Ma LB, Kang HD, Yu G et al (2024) Single-domain generalized predictor for neural architecture search system. IEEE Trans Comput 73(5):1400\u20131413. https:\/\/doi.org\/10.1109\/TC.2024.3365949","journal-title":"IEEE Trans Comput"}],"container-title":["Complex & Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40747-025-01907-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40747-025-01907-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40747-025-01907-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T11:07:41Z","timestamp":1750331261000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40747-025-01907-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,17]]},"references-count":59,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2025,7]]}},"alternative-id":["1907"],"URL":"https:\/\/doi.org\/10.1007\/s40747-025-01907-8","relation":{},"ISSN":["2199-4536","2198-6053"],"issn-type":[{"value":"2199-4536","type":"print"},{"value":"2198-6053","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,17]]},"assertion":[{"value":"9 November 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 April 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 May 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"292"}}