{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T08:55:09Z","timestamp":1770108909948,"version":"3.49.0"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"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":["IEEE Trans. Evol. Computat."],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1109\/tevc.2025.3550668","type":"journal-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T13:43:32Z","timestamp":1741787012000},"page":"333-347","source":"Crossref","is-referenced-by-count":0,"title":["Light-EvoOPT: A Lightweight Evolutionary Optimization Framework for Ultralarge-Scale Mixed Integer Linear Programs"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-7273-8178","authenticated-orcid":false,"given":"Huigen","family":"Ye","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7401-307X","authenticated-orcid":false,"given":"Hua","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8435-680X","authenticated-orcid":false,"given":"Carlos A.","family":"Coello Coello","sequence":"additional","affiliation":[{"name":"Department of Computer Science, CINVESTAV-IPN (Evolutionary Computation Group), Mexico City, Mexico"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/9781119606475"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/OAJPE.2023.3247989"},{"key":"ref3","first-page":"1","article-title":"Light-MILPopt: Solving large-scale mixed integer linear programs with lightweight optimizer and small-scale training dataset","volume-title":"Proc. 12th Int. Conf. Learn. Represent.","author":"Ye"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.est.2023.107123"},{"key":"ref5","article-title":"A GNN-guided predict-and-search framework for mixed-integer linear programming","author":"Han","year":"2023","journal-title":"arXiv:2302.05636"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25263-1_2"},{"key":"ref7","first-page":"1","article-title":"Exact combinatorial optimization with graph convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Gasse"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1287\/opre.14.4.699"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/bfb0000041"},{"key":"ref10","article-title":"Solving mixed integer programs using neural networks","author":"Nair","year":"2020","journal-title":"arXiv:2012.13349"},{"key":"ref11","article-title":"Learning a large Neighborhood search algorithm for mixed integer programs","author":"Sonnerat","year":"2021","journal-title":"arXiv:2107.10201"},{"key":"ref12","first-page":"39864","article-title":"GNN&GBDT-guided fast Optimizing framework for large-scale integer programming","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ye"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-8917-8"},{"key":"ref14","volume-title":"Theory of Linear and Integer Programming","author":"Schrijver","year":"1998"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1057\/jors.1980.43"},{"key":"ref16","volume":"3","author":"Murty","year":"1988","journal-title":"Linear Complementarity, Linear and Nonlinear Programming"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1609.02907"},{"key":"ref18","article-title":"Confidence threshold neural diving","author":"Yoon","year":"2022","journal-title":"arXiv:2202.07506"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00943"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ISCC50000.2020.9219587"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0201"},{"key":"ref22","article-title":"An overview of neural network compression","author":"Neill","year":"2020","journal-title":"arXiv:2006.03669"},{"key":"ref23","first-page":"1","article-title":"Runtime neural pruning","volume-title":"Proc. 31st Conf. Neural Inf. Process. Syst.","volume":"30","author":"Lin"},{"key":"ref24","article-title":"Deep compression: Compressing deep neural networks with pruning, trained Quantization and Huffman coding","author":"Han","year":"2015","journal-title":"arXiv:1510.00149"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2556195.2556213"},{"key":"ref26","first-page":"1","article-title":"On representing linear programs by graph neural networks","volume-title":"Proc. 11th Int. Conf. Learn. Represent.","author":"Chen"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3225073"},{"key":"ref28","first-page":"2151","article-title":"SelectiveNet: A deep neural network with an integrated reject option","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Geifman"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2004.841906"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i13.27048"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1023\/A:1019225027893"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.4007\/annals.2005.162.439"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1137\/0206038"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-003-0400-z"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s12532-008-0001-1"},{"key":"ref37","volume-title":"IBM ILOG CPLEX Optimization Studio, Version 12","year":"1987"},{"key":"ref38","volume-title":"Gurobi Optimizer Reference Manual","year":"2023"}],"container-title":["IEEE Transactions on Evolutionary Computation"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4235\/11369807\/10924306.pdf?arnumber=10924306","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T20:44:30Z","timestamp":1770065070000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10924306\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":38,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tevc.2025.3550668","relation":{},"ISSN":["1089-778X","1089-778X","1941-0026"],"issn-type":[{"value":"1089-778X","type":"print"},{"value":"1089-778X","type":"print"},{"value":"1941-0026","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2]]}}}