{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T05:26:17Z","timestamp":1767677177444,"version":"build-2065373602"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"19","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program Funded Projects of China","award":["2023YFB3308200"],"award-info":[{"award-number":["2023YFB3308200"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62373026"],"award-info":[{"award-number":["62373026"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Beijing","award":["L241018"],"award-info":[{"award-number":["L241018"]}]},{"name":"Academic Excellence Foundation of BUAA for Ph.D. Students"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2025,10,1]]},"DOI":"10.1109\/jiot.2025.3591590","type":"journal-article","created":{"date-parts":[[2025,7,22]],"date-time":"2025-07-22T18:07:09Z","timestamp":1753207629000},"page":"41135-41147","source":"Crossref","is-referenced-by-count":1,"title":["Dynamic Scheduling of Simulation Workflows in Product Design With Meta-Reinforcement Learning"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0444-8828","authenticated-orcid":false,"given":"Zhen","family":"Chen","sequence":"first","affiliation":[{"name":"Hangzhou International Innovation Institute, Beihang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8688-047X","authenticated-orcid":false,"given":"Xiaohan","family":"Wang","sequence":"additional","affiliation":[{"name":"Hangzhou International Innovation Institute, Beihang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1989-6102","authenticated-orcid":false,"given":"Lin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Hangzhou International Innovation Institute, Beihang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1569-9657","authenticated-orcid":false,"given":"Mohammad S.","family":"Obaidat","sequence":"additional","affiliation":[{"name":"King Abdullah II School of Information Technology, University of Jordan, Amman, Jordan"}]},{"given":"Fei","family":"Wang","sequence":"additional","affiliation":[{"name":"BOE Technology Center, BOE, Beijing, China"}]},{"given":"Balqies","family":"Sadoun","sequence":"additional","affiliation":[{"name":"Department of Surveying Engineering and Geomatics and Civil Engineering, Faculty of Engineering, Al Balqa’ Applied University, Al Salt, Jordan"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2021.101297"},{"issue":"7","key":"ref2","doi-asserted-by":"crossref","first-page":"584","DOI":"10.3390\/systems13070584","article-title":"MBSE 2.0: Toward more integrated, comprehensive, and intelligent MBSE","volume":"13","author":"Zhang","year":"2025","journal-title":"Systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1142\/S1793962324300012"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2022.3143832"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/SOSE.2017.12"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2020.3004313"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2022.08.004"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-02884-1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcan.2023.12.009"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-8211-0_6"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2023.09.018"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2023.109053"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.23919\/CSMS.2022.0007"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2025.01.010"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2023.3323877"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3395296"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2020.3039066"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3139437"},{"key":"ref19","article-title":"Learning to adapt in dynamic, real-world environments through meta-reinforcement learning","author":"Nagabandi","year":"2018","journal-title":"arXiv:1803.11347"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1561\/2200000080"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2021.3093341"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2019.2906300"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.measen.2023.100742"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2018.2866421"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2023.3249160"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1504\/IJWGS.2023.129338"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2023.3253182"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2022.06.012"},{"key":"ref29","article-title":"Proximal policy optimization algorithms","author":"Schulman","year":"2017","journal-title":"arXiv:1707.06347"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3217477"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/SCC53864.2021.00023"},{"key":"ref32","article-title":"An actor\u2013critic algorithm for sequence prediction","author":"Bahdanau","year":"2016","journal-title":"arXiv:1607.07086"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2902846"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3350741"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CSCWD57460.2023.10152783"},{"key":"ref36","first-page":"1861","article-title":"Soft actor\u2013critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Haarnoja"},{"key":"ref37","first-page":"1587","article-title":"Addressing function approximation error in actor\u2013critic methods","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Fujimoto"},{"key":"ref38","article-title":"Meta-Q-learning","author":"Fakoor","year":"2019","journal-title":"arXiv:1910.00125"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3326285.3329074"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3125395"},{"key":"ref41","article-title":"Soft actor\u2013critic for discrete action settings","author":"Christodoulou","year":"2019","journal-title":"arXiv:1910.07207"},{"key":"ref42","article-title":"Asynchronous methods for deep reinforcement learning","author":"Mnih","year":"2016","journal-title":"arXiv:1602.01783"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.23919\/chicc.2018.8483478"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11177626\/11089936.pdf?arnumber=11089936","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T13:32:45Z","timestamp":1759239165000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11089936\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,1]]},"references-count":44,"journal-issue":{"issue":"19"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2025.3591590","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"type":"electronic","value":"2327-4662"},{"type":"electronic","value":"2372-2541"}],"subject":[],"published":{"date-parts":[[2025,10,1]]}}}