{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T20:28:06Z","timestamp":1783542486969,"version":"3.55.0"},"reference-count":77,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62476118"],"award-info":[{"award-number":["62476118"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology","award":["2024B1212010002"],"award-info":[{"award-number":["2024B1212010002"]}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"crossref","award":["2024A1515011759"],"award-info":[{"award-number":["2024A1515011759"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100018811","name":"Center for Computational Science and Engineering at Southern University of Science and Technology.","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018811","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1109\/tits.2026.3674538","type":"journal-article","created":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T19:51:43Z","timestamp":1774554703000},"page":"8270-8284","source":"Crossref","is-referenced-by-count":0,"title":["Instance-Conditioned Adaptation for Large-Scale Generalization of Neural Routing Solver"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-4512-9558","authenticated-orcid":false,"given":"Changliang","family":"Zhou","sequence":"first","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, School of Automation and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5298-6893","authenticated-orcid":false,"given":"Xi","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1152-6780","authenticated-orcid":false,"given":"Zhenkun","family":"Wang","sequence":"additional","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, School of Automation and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xialiang","family":"Tong","sequence":"additional","affiliation":[{"name":"Huawei Noah’s Ark Lab, Hong Kong, SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2236-8784","authenticated-orcid":false,"given":"Mingxuan","family":"Yuan","sequence":"additional","affiliation":[{"name":"Huawei Noah’s Ark Lab, Hong Kong, SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0786-0671","authenticated-orcid":false,"given":"Qingfu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.119789"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3438788"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3253552"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2025.3611948"},{"key":"ref5","volume":"12","author":"Helsgaun","year":"2017","journal-title":"An Extension of the Lin-Kernighan\u2013Helsgaun TSP Solver for Constrained Traveling Salesman and Vehicle Routing Problems"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2021.105643"},{"key":"ref7","first-page":"37","article-title":"On evolution, search, optimization, genetic algorithms and martial arts: Towards memetic algorithms","author":"Moscato","year":"1989"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2848116"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2674800"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.2022.1186"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2025.02.021"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2022.105677"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2020.07.063"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3313688"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3056120"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3207011"},{"key":"ref17","first-page":"2692","article-title":"Pointer networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Vinyals"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i18.30008"},{"key":"ref19","first-page":"9861","article-title":"Reinforcement learning for solving the vehicle routing problem","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Nazari"},{"key":"ref20","article-title":"Neural combinatorial optimization with reinforcement learning","author":"Bello","year":"2016","journal-title":"arXiv:1611.09940"},{"key":"ref21","first-page":"1","article-title":"Attention, learn to solve routing problems!","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kool"},{"key":"ref22","first-page":"1","article-title":"Efficient active search for combinatorial optimization problems","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Hottung"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.52202\/068431-0637"},{"key":"ref24","first-page":"6351","article-title":"Learning combinatorial optimization algorithms over graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"30","author":"Khalil"},{"key":"ref25","article-title":"DAN: Decentralized attention-based neural network for the MinMax multiple traveling salesman problem","author":"Cao","year":"2021","journal-title":"arXiv:2109.04205"},{"key":"ref26","first-page":"42769","article-title":"Towards omni-generalizable neural methods for vehicle routing problems","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhou"},{"key":"ref27","first-page":"32194","article-title":"Meta-SAGE: Scale meta-learning scheduled adaptation with guided exploration for mitigating scale shift on combinatorial optimization","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Son"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i7.25982"},{"key":"ref29","article-title":"Distance-aware attention reshaping: Enhance generalization of neural solver for large-scale vehicle routing problems","author":"Wang","year":"2024","journal-title":"arXiv:2401.06979"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3285077"},{"key":"ref31","first-page":"6914","article-title":"Towards generalizable neural solvers for vehicle routing problems via ensemble with transferrable local policy","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Gao"},{"key":"ref32","first-page":"1","article-title":"Scale-conditioned adaptation for large scale combinatorial optimization","volume-title":"Proc. NeurIPS Workshop Distrib. Shifts, Connecting Methods Appl.","author":"Kim"},{"key":"ref33","first-page":"426","article-title":"On the generalization of neural combinatorial optimization heuristics","volume-title":"Proc. Joint Eur. Conf. Mach. Learn. Knowl. Discovery Databases","author":"Manchanda"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2025.3562860"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2025.3624271"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2025.3539800"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2025.3581316"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3512618"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2025.3594393"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2025.3591794"},{"key":"ref41","first-page":"21188","article-title":"POMO: Policy optimization with multiple optima for reinforcement learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Kwon"},{"key":"ref42","article-title":"An efficient graph convolutional network technique for the travelling salesman problem","author":"Joshi","year":"2019","journal-title":"arXiv:1906.01227"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16916"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.52202\/068431-1851"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.52202\/075280-0164"},{"key":"ref46","first-page":"26198","article-title":"Learning to delegate for large-scale vehicle routing","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"34","author":"Li"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i8.26120"},{"key":"ref48","first-page":"1219","article-title":"Select and optimize: Learning to aolve large-scale tsp instances","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Cheng"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i18.30009"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.52202\/079017-0197"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i17.34018"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i25.34926"},{"key":"ref53","first-page":"1","article-title":"Evaluating curriculum learning strategies in neural combinatorial optimization","volume-title":"Proc. Learn. Meets Combinat. Algorithms NeurIPS","author":"Lisicki"},{"key":"ref54","first-page":"8845","article-title":"Neural combinatorial optimization with heavy decoder: Toward large scale generalization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lin"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.52202\/075280-3385"},{"key":"ref56","first-page":"1","article-title":"Boosting neural combinatorial optimization for large-scale vehicle routing problems","volume-title":"Proc. 13th Int. Conf. Learn. Represent.","author":"Luo"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2025\/964"},{"key":"ref58","article-title":"Improving generalization of neural combinatorial optimization for vehicle routing problems via test-time projection learning","volume-title":"Proc. 39th Conf. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref60","article-title":"An attention free transformer","author":"Zhai","year":"2021","journal-title":"arXiv:2105.14103"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"ref62","first-page":"5138","article-title":"Matrix encoding networks for neural combinatorial optimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"7","author":"Kwon"},{"key":"ref63","first-page":"61804","article-title":"MVMoE: Multi-task vehicle routing solver with mixture-of-experts","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Zhou"},{"key":"ref64","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref65","article-title":"Concorde TSP solver","author":"Applegate","year":"2006"},{"key":"ref66","volume-title":"Or-Tools","author":"Perron","year":"2023"},{"key":"ref67","first-page":"1","article-title":"Rethinking light decoder-based solvers for vehicle routing problems","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Huang"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3672040"},{"key":"ref69","first-page":"50020","article-title":"T2T: From distribution learning in training to gradient search in testing for combinatorial optimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Guo"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1287\/ijoc.3.4.376"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2016.08.012"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2019.03.006"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2025.3555568"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3516956"},{"key":"ref75","volume-title":"Openstreetmap Database","year":"2025"},{"key":"ref76","article-title":"Neural combinatorial optimization for real-world routing","author":"Son","year":"2025","journal-title":"arXiv:2503.16159"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.2023.0369"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/11597996\/11456440.pdf?arnumber=11456440","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T19:44:38Z","timestamp":1783539878000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11456440\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":77,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tits.2026.3674538","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7]]}}}