{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T15:03:38Z","timestamp":1773327818574,"version":"3.50.1"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"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":[[2022,7,18]]},"DOI":"10.1109\/cec55065.2022.9870403","type":"proceedings-article","created":{"date-parts":[[2022,9,6]],"date-time":"2022-09-06T19:28:14Z","timestamp":1662492494000},"page":"1-8","source":"Crossref","is-referenced-by-count":6,"title":["A Genetic Programming-Based Hyper-Heuristic Approach for Multi-Objective Dynamic Workflow Scheduling in Cloud Environment"],"prefix":"10.1109","author":[{"given":"Yongbo","family":"Yu","sequence":"first","affiliation":[{"name":"School of Engineering and Computer Science, Victoria University of Wellington,New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Engineering and Computer Science, Victoria University of Wellington,New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Engineering and Computer Science, Victoria University of Wellington,New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Engineering and Computer Science, Victoria University of Wellington,New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/SCC49832.2020.00039"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281535"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2007052.2007090"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CloudCom.2012.6427573"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112915"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-64471-4_4"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1007\/978-3-662-46485-4_7","article-title":"A hybrid approach using genetic programming and greedy search for qos-aware web service composition","author":"ma","year":"2015","journal-title":"Transactions on Large-Scale Data- and Knowledge-Centered Systems XVIII"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1080\/00207728808964077"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-77449-7_8"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2017.7969539"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49049-6_14"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2248159"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2016.7743797"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59051-2_6"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/71.993206"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2019.8789896"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI47803.2020.9308261"},{"key":"ref29","article-title":"Online multi-workflow scheduling under uncertain task execution time in iaas clouds","author":"liu","year":"2019","journal-title":"IEEE Transactions on Cloud Computing"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CEC45853.2021.9504709"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.09.054"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/E-SCIENCE.2007.3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CEC45853.2021.9504695"},{"key":"ref9","article-title":"Number partitioning","author":"mertens","year":"2006","journal-title":"Computational Complexity and Statistical Physics"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2015.2446459"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.11.020"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/SCC.2019.00034"},{"key":"ref21","article-title":"A cooperative coevolution genetic programming hyper-heuristic approach for on-line resource allocation in container-based clouds","author":"tan","year":"2020","journal-title":"IEEE Transactions on Cloud Computing"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-03991-2_71"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-91431-8_52"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3133884"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.2981306"}],"event":{"name":"2022 IEEE Congress on Evolutionary Computation (CEC)","location":"Padua, Italy","start":{"date-parts":[[2022,7,18]]},"end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 IEEE Congress on Evolutionary Computation (CEC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9870216\/9870201\/09870403.pdf?arnumber=9870403","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,18]],"date-time":"2023-02-18T08:28:24Z","timestamp":1676708904000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9870403\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/cec55065.2022.9870403","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}