{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T04:48:32Z","timestamp":1792730912232,"version":"4.5.0"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71701203"],"award-info":[{"award-number":["71701203"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province","doi-asserted-by":"publisher","award":["2018JJ3618"],"award-info":[{"award-number":["2018JJ3618"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2968051","type":"journal-article","created":{"date-parts":[[2020,1,20]],"date-time":"2020-01-20T20:43:47Z","timestamp":1579553027000},"page":"16941-16952","source":"Crossref","is-referenced-by-count":26,"title":["A Learning-Based Approach for Agile Satellite Onboard Scheduling"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1167-0611","authenticated-orcid":false,"given":"Ji","family":"Lu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8388-7932","authenticated-orcid":false,"given":"Yuning","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4678-8425","authenticated-orcid":false,"given":"Renjie","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","first-page":"1","article-title":"Solving combinatorial optimization tasks by reinforcement learning: A general methodology applied to resource-constrained scheduling","volume":"1","author":"zhang","year":"2000","journal-title":"J Artif Intell Res"},{"key":"ref32","article-title":"An adaptive Simulated Annealing-based satellite observation scheduling method combined with a dynamic task clustering strategy","author":"wu","year":"0","journal-title":"Comput Sci"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2011.02.015"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2015.03.011"},{"key":"ref34","year":"2018","journal-title":"Python Sklearn Package"},{"key":"ref10","article-title":"Agile satellite scheduling via permutation search with constraint propagation","author":"dilkina","year":"2005"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-32817-1_3"},{"key":"ref12","first-page":"2533","article-title":"Tasks scheduling method for an agile imaging satellite based on improved ant colony algorithm","volume":"32","author":"guo","year":"2012","journal-title":"Systems Engineering - Theory &amp; Practice"},{"key":"ref13","first-page":"724","article-title":"Learning to branch in mixed integer programming","author":"khalil","year":"2016","journal-title":"Proc AAAI"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2017.04.006"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/S1270-9638(02)01173-2"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICNC.2007.652"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.2514\/6.2014-1759"},{"key":"ref18","first-page":"7384","article-title":"Intelligent control for spacecraft autonomy-an industry survey","author":"vallee","year":"2006","journal-title":"Proceedings of SpaceOps"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2755045"},{"key":"ref28","first-page":"1216","article-title":"The autonomous sciencecraft experiment onboard the EO-1 spacecraft","author":"tran","year":"2004","journal-title":"Proc 4th Int Joint Conf Auton Agents Multiagent Syst"},{"key":"ref4","first-page":"582","article-title":"Classification and regression trees (Belmont, CA: Wadsworth international group)","volume":"40","author":"breiman","year":"1984","journal-title":"Encyclopedia Ecol"},{"key":"ref27","article-title":"Machine learning benchmarks and random forest regression","author":"segal","year":"2004","journal-title":"Proc Int Conf Bioinf"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2000.10485983"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.asr.2017.07.026"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/b105417"},{"key":"ref5","first-page":"77","article-title":"Learning evaluation functions to improve optimization by local search","volume":"1","author":"boyan","year":"2000","journal-title":"J Mach Learn Res"},{"key":"ref8","first-page":"2702","article-title":"Discriminative embeddings of latent variable models for structured data","year":"2016","journal-title":"Proc ICML"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1144\/SP426.3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(99)00032-5"},{"key":"ref9","first-page":"19","article-title":"A continuous anytime planning module for an autonomous earth watching satellite","volume":"5","author":"damiani","year":"2005","journal-title":"SMIT"},{"key":"ref1","first-page":"3981","article-title":"Learning to learn by gradient descent by gradient descent","author":"andrychowicz","year":"2016","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.2514\/2.7480"},{"key":"ref22","first-page":"25","article-title":"Autonomous satellite servicing using the orbital express demonstration manipulator system","author":"ogilvie","year":"2008","journal-title":"Int Symp Artificial Intell Robot Automat in Space"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2011.01.016"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.2514\/6.2005-6917"},{"key":"ref23","article-title":"The FireBird mission&#x2014;A scientific mission for earth observation and hot SpotDetection","author":"reile","year":"2013","journal-title":"Proc 9th IAA Symp Small Satell Earth Observ DLR"},{"key":"ref26","first-page":"255","article-title":"Learning to solve QBF","author":"samulowitz","year":"2007","journal-title":"Proc AAAI"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2656878"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/08963949.pdf?arnumber=8963949","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T10:22:40Z","timestamp":1643278960000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8963949\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2968051","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}