{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T05:40:54Z","timestamp":1778046054276,"version":"3.51.4"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["MOST 109-2628-E-009-009-MY3"],"award-info":[{"award-number":["MOST 109-2628-E-009-009-MY3"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["111-2221-E-A49-083-MY3"],"award-info":[{"award-number":["111-2221-E-A49-083-MY3"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1109\/tii.2024.3371489","type":"journal-article","created":{"date-parts":[[2024,3,21]],"date-time":"2024-03-21T19:05:45Z","timestamp":1711047945000},"page":"8662-8672","source":"Crossref","is-referenced-by-count":51,"title":["Dynamic Job-Shop Scheduling via Graph Attention Networks and Deep Reinforcement Learning"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2724-7199","authenticated-orcid":false,"given":"Chien-Liang","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering and Management, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1611-4259","authenticated-orcid":false,"given":"Chun-Jan","family":"Tseng","sequence":"additional","affiliation":[{"name":"Management College, National Defense University, Taipei, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8559-3791","authenticated-orcid":false,"given":"Po-Hao","family":"Weng","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering and Management, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2908210"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICTON.2014.6876285"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/nav.3800060205"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/0166-218X(94)90204-6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1287\/moor.1.2.117"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2017.05.026"},{"key":"ref7","first-page":"1621","article-title":"Learning to dispatch for job shop scheduling via deep reinforcement learning","volume":"33","author":"Zhang","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref8","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Representation","author":"Velikovi","year":"2018"},{"key":"ref9","article-title":"Proximal policy optimization algorithms","author":"Schulman","year":"2017"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.omega.2022.102770"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2020.04.017"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2021.104207"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2015.10.005"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110801"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2023.101387"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3192112"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-017-1350-2"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2021.105400"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30487-4_44"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/su14095177"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2987820"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ASMC.2018.8373191"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106208"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1848\/1\/012029"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.06.017"},{"key":"ref26","first-page":"106","article-title":"Scheduling problems with disjunctive constraints","volume":"9","author":"Roy","year":"1964","journal-title":"Note DS"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1049\/ip-cta:19960089"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2013.835498"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.23919\/MIPRO55190.2022.9803345"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3357969"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121756"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3189725"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2023.109718"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3272661"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117796"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1002\/tee.23788"},{"key":"ref37","article-title":"Empirical evaluation of rectified activations in convolutional network","author":"Xu","year":"2015"},{"key":"ref38","first-page":"1","article-title":"Fast and accurate deep network learning by exponential linear units (ELUs","volume-title":"Proc. Int. Conf. Learn. Representation","author":"Clevert","year":"2016"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3167380"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/0377-2217(93)90182-M"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(97)00019-2"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9424\/10550081\/10477770.pdf?arnumber=10477770","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T21:50:02Z","timestamp":1719352202000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10477770\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":41,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tii.2024.3371489","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6]]}}}