{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T11:03:25Z","timestamp":1784372605896,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819233960","type":"print"},{"value":"9789819233977","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-981-92-3397-7_38","type":"book-chapter","created":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T10:15:41Z","timestamp":1784369741000},"page":"455-466","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Multi-objective Flexible Job Shop Scheduling Approach Based on Preference-Driven and Two-Stage Graph Reinforcement Learning"],"prefix":"10.1007","author":[{"given":"Can","family":"Cui","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu-Hang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan-Cui","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Qian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rong","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chang-Sheng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li-Hai","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,19]]},"reference":[{"key":"38_CR1","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1007\/s10845-013-0804-4","volume":"25","author":"M Gen","year":"2014","unstructured":"Gen, M., Lin, L.: Multiobjective evolutionary algorithm for manufacturing scheduling problems: state-of-the-art survey. J. Intell. Manuf. 25, 849\u2013866 (2014)","journal-title":"J. Intell. Manuf."},{"key":"38_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2023.101374","volume":"82","author":"L Meng","year":"2023","unstructured":"Meng, L., Zhang, C., Zhang, B., Gao, K., Ren, Y., Sang, H.: MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times. Swarm Evol. Comput. 82, 101374 (2023)","journal-title":"Swarm Evol. Comput."},{"key":"38_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2024.101774","volume":"91","author":"C Liu","year":"2024","unstructured":"Liu, C., Han, Y., Wang, Y., Li, J., Liu, Y.: Multi-population coevolutionary algorithm for a green multi-objective flexible job shop scheduling problem with automated guided vehicles and variable processing speed constraints. Swarm Evol. Comput. 91, 101774 (2024)","journal-title":"Swarm Evol. Comput."},{"key":"38_CR4","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1016\/j.jclepro.2017.08.068","volume":"167","author":"Y Zhang","year":"2017","unstructured":"Zhang, Y., Wang, J., Liu, Y.: Game theory based real-time multi-objective flexible job shop scheduling considering environmental impact. J. Clean. Prod. 167, 665\u2013679 (2017)","journal-title":"J. Clean. Prod."},{"key":"38_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2021.107677","volume":"161","author":"J Duan","year":"2021","unstructured":"Duan, J., Wang, J.: Energy-efficient scheduling for a flexible job shop with machine breakdowns considering machine idle time arrangement and machine speed level selection. Comput. Ind. Eng. 161, 107677 (2021)","journal-title":"Comput. Ind. Eng."},{"key":"38_CR6","doi-asserted-by":"publisher","first-page":"1949","DOI":"10.1007\/s10845-020-01547-4","volume":"31","author":"A T\u00fcrky\u0131lmaz","year":"2020","unstructured":"T\u00fcrky\u0131lmaz, A., \u015eenvar, \u00d6., \u00dcnal, \u0130., Bulkan, S.: A research survey: heuristic approaches for solving multi objective flexible job shop problems. J. Intell. Manuf. 31, 1949\u20131983 (2020)","journal-title":"J. Intell. Manuf."},{"key":"38_CR7","doi-asserted-by":"publisher","first-page":"992","DOI":"10.1016\/j.ress.2005.11.018","volume":"91","author":"A Konak","year":"2006","unstructured":"Konak, A., Coit, D.W., Smith, A.E.: Multi-objective optimization using genetic algorithms: a tutorial. Reliab. Eng. Syst. Saf. 91, 992\u20131007 (2006)","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"38_CR8","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.ijpe.2010.08.004","volume":"129","author":"G Moslehi","year":"2011","unstructured":"Moslehi, G., Mahnam, M.: A pareto approach to multi-objective flexible job-shop scheduling problem using particle swarm optimization and local search. Int. J. Prod. Econ. 129, 14\u201322 (2011)","journal-title":"Int. J. Prod. Econ."},{"key":"38_CR9","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.1016\/j.eswa.2009.06.041","volume":"37","author":"DY Sha","year":"2010","unstructured":"Sha, D.Y., Lin, H.-H.: A multi-objective pso for job-shop scheduling problems. Expert Syst. Appl. 37, 1065\u20131070 (2010)","journal-title":"Expert Syst. Appl."},{"key":"38_CR10","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.ins.2014.07.039","volume":"289","author":"KZ Gao","year":"2014","unstructured":"Gao, K.Z., Suganthan, P.N., Pan, Q.K., Chua, T.J., Cai, T.X., Chong, C.S.: Pareto-based grouping discrete harmony search algorithm for multi-objective flexible job shop scheduling. Inf. Sci. 289, 76\u201390 (2014)","journal-title":"Inf. Sci."},{"key":"38_CR11","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1016\/j.cie.2010.07.014","volume":"59","author":"J Li","year":"2010","unstructured":"Li, J., Pan, Q., Liang, Y.-C.: An effective hybrid tabu search algorithm for multi-objective flexible job-shop scheduling problems. Comput. Ind. Eng. 59, 647\u2013662 (2010)","journal-title":"Comput. Ind. Eng."},{"key":"38_CR12","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1016\/j.cie.2005.01.018","volume":"48","author":"W Xia","year":"2005","unstructured":"Xia, W., Wu, Z.: An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems. Comput. Ind. Eng. 48, 409\u2013425 (2005)","journal-title":"Comput. Ind. Eng."},{"key":"38_CR13","doi-asserted-by":"publisher","first-page":"1309","DOI":"10.1016\/j.cie.2008.07.021","volume":"56","author":"G Zhang","year":"2009","unstructured":"Zhang, G., Shao, X., Li, P., Gao, L.: An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem. Comput. Ind. Eng. 56, 1309\u20131318 (2009)","journal-title":"Comput. Ind. Eng."},{"key":"38_CR14","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1016\/j.jmsy.2013.04.015","volume":"32","author":"N Shahsavari-Pour","year":"2013","unstructured":"Shahsavari-Pour, N., Ghasemishabankareh, B.: A novel hybrid meta-heuristic algorithm for solving multi objective flexible job shop scheduling. J. Manuf. Syst. 32, 771\u2013780 (2013)","journal-title":"J. Manuf. Syst."},{"key":"38_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106208","volume":"91","author":"S Luo","year":"2020","unstructured":"Luo, S.: Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning. Appl. Soft Comput. 91, 106208 (2020)","journal-title":"Appl. Soft Comput."},{"key":"38_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117796","volume":"205","author":"K Lei","year":"2022","unstructured":"Lei, K., et al.: A multi-action deep reinforcement learning framework for flexible job-shop scheduling problem. Expert Syst. Appl. 205, 117796 (2022)","journal-title":"Expert Syst. Appl."},{"key":"38_CR17","doi-asserted-by":"publisher","first-page":"1600","DOI":"10.1109\/TII.2022.3189725","volume":"19","author":"W Song","year":"2023","unstructured":"Song, W., Chen, X., Li, Q., Cao, Z.: Flexible job-shop scheduling via graph neural network and deep reinforcement learning. IEEE Trans. Industr. Inform. 19, 1600\u20131610 (2023)","journal-title":"IEEE Trans. Industr. Inform."}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-3397-7_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T10:15:41Z","timestamp":1784369741000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-3397-7_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,19]]},"ISBN":["9789819233960","9789819233977"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-3397-7_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,19]]},"assertion":[{"value":"19 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Toronto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2026a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2026\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}