{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T22:00:09Z","timestamp":1781388009311,"version":"3.54.1"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10649988","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-8","source":"Crossref","is-referenced-by-count":4,"title":["Dual Dynamic Attention Network for Flexible Job Scheduling with Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Yuting","family":"Zhao","sequence":"first","affiliation":[{"name":"Tsinghua University,Department of Electronic Engineering,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuepeng","family":"Chen","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications,School of Computer Science (National Pilot Software Engineering School),Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji","family":"Wu","sequence":"additional","affiliation":[{"name":"Tsinghua University,Department of Electronic Engineering,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenyi","family":"Guo","sequence":"additional","affiliation":[{"name":"Tsinghua University,Department of Electronic Engineering,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-017-1350-2"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-18567-5_2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/00207549308956713"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2021.2023777"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.32657\/10356\/65649"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2016.01.016"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2833552"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/math7050384"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-015-1039-3"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-09992-0"},{"key":"ref11","author":"Singh","year":"2014","journal-title":"A study on flexible flow shop and job shop scheduling using meta-heuristic approaches[D]"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2019.11.585"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2943606"},{"key":"ref14","article-title":"Knowledge-based reinforcement learning and estimation of distribution algorithm for flexible job shop scheduling problem[J]","author":"Du","year":"2022","journal-title":"IEEE Transactions on Emerging Topics in Computational Intelligence"},{"key":"ref15","first-page":"5138","article-title":"Matrix encoding networks for neural combinatorial optimization[J]","volume":"34","author":"Kwon","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/SMC53654.2022.9945107"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3029868"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACAIT53529.2021.9731322"},{"key":"ref19","first-page":"1621","article-title":"Learning to dispatch for job shop scheduling via deep reinforcement learning[J]","volume":"33","author":"Zhang","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.2507\/IJSIMM20-2-CO7"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3189725"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3306421"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/app11114741"},{"key":"ref24","article-title":"How attentive are graph attention networks?[J]","author":"Brody","year":"2021"},{"key":"ref25","article-title":"Graph attention networks[J]","author":"Veli\u010dkovi\u0107","year":"2017"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkab349"},{"key":"ref27","article-title":"Stochastic Economic Lot Scheduling via Self-Attention Based Deep Reinforcement Learning[J]","author":"Song","year":"2023","journal-title":"IEEE Transactions on Automation Science and Engineering"},{"key":"ref28","article-title":"Attention Is All You Need[J]","author":"Vaswani","year":"2017"},{"key":"ref29","article-title":"Semi-supervised classification with graph convolutional networks[J]","author":"Kipf","year":"2016"},{"key":"ref30","article-title":"Proximal policy optimization algorithms[J]","author":"Schulman","year":"2017"},{"key":"ref31","article-title":"High-dimensional continuous control using generalized advantage estimation[J]","author":"Schulman","year":"2015"},{"key":"ref32","first-page":"249","article-title":"Understanding the difficulty of training deep feed-forward neural networks[C]","volume-title":"Proceedings of the thirteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings","author":"Glorot"},{"key":"ref33","article-title":"Google or-tools","year":"2019"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/BF02023073"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/BF01719451"},{"key":"ref36","article-title":"Adam: A method for stochastic optimization[J]","author":"Kingma","year":"2014"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2011.611539"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","location":"Yokohama, Japan","start":{"date-parts":[[2024,6,30]]},"end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10649988.pdf?arnumber=10649988","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T04:53:41Z","timestamp":1725944021000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10649988\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10649988","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}