{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:15:27Z","timestamp":1761174927335,"version":"build-2065373602"},"reference-count":12,"publisher":"Polish Information Processing Society","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.15439\/2025f9016","type":"proceedings-article","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T07:44:23Z","timestamp":1761119063000},"page":"375-380","source":"Crossref","is-referenced-by-count":0,"title":["Metaheuristics for Rolling Stock Cyclic Job Scheduling Problems with Maintenance"],"prefix":"10.15439","volume":"43","author":[{"given":"Radoslaw","family":"Rudek","sequence":"first","affiliation":[{"name":"General Tadeusz Ko\u015bciuszko Military University of Land Forces"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"6175","published-online":{"date-parts":[[2025,10,15]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"M. Atsmony, B. Mor, and G. Mosheiov, \u201cMinimizing tardiness scheduling measures with generalized due-dates and a maintenance activity,\u201d\nComputers & Operations Research, vol. 152, p. 106133, 2023.","DOI":"10.1016\/j.cor.2022.106133"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"R. P. Nicolai and R. Dekker, \u201cOptimal maintenance of multi-component\nsystems: a review,\u201d in Complex system maintenance handbook. London:\nSpringer Science & Business Media, 2008, pp. 263\u2013286.","DOI":"10.1007\/978-1-84800-011-7_11"},{"key":"ref3","doi-asserted-by":"crossref","unstructured":"X. Sun and X.-N. Geng, \u201cSingle-machine scheduling with deteriorating\neffects and machine maintenance,\u201d International Journal of Production\nResearch, vol. 57, pp. 3186\u20133199, 2019.","DOI":"10.1080\/00207543.2019.1566675"},{"key":"ref4","doi-asserted-by":"crossref","unstructured":"C. Zhang, Y. Gao, L. Yang, Z. Gao, and J. Qi, \u201cJoint optimisation of train\nscheduling and maintenance planning in a railway network: A heuristic\nalgorithm using Lagrangian relaxation,\u201d Transportation Research Part\nB: Methodological, vol. 134, pp. 64\u201392, 2020.","DOI":"10.1016\/j.trb.2020.02.008"},{"key":"ref5","doi-asserted-by":"crossref","unstructured":"R. Rudek and I. Rudek, \u201cModels and algorithms for the preventive\nmaintenance optimization of railway vehicles,\u201d Expert Systems with\nApplications, vol. 240, pp. 122 589.1\u201313, 2024.","DOI":"10.1016\/j.eswa.2023.122589"},{"key":"ref6","unstructured":"E. Eisenschmidt, S. Reimig, L. Schirmers, and S. Stern, \u201cThe rail sector\u2019s\nchanging maintenance game,\u201d 2017, mcKinsey Global Institute, Report,\nhttps:\/\/tinyurl.com\/ymbup3v5 [accessed: 2024-08-20]."},{"key":"ref7","unstructured":"R. Rudek, \u201cA decision support system for rolling stock management in\na railway transport company,\u201d 2018, Industrial Report \u201cMozart Project\u201d\nfor Industrial Division Ltd., October 2017 \u2013 September 2018 (in Polish)."},{"key":"ref8","doi-asserted-by":"crossref","unstructured":"I. Rudek and R. Rudek, \u201cOptimizing maintenance cost of uniform rolling\nstock by scheduling algorithms,\u201d in Lecture Notes in Networks and\nSystems, L. Borzemski, H. Selvaraj, and J. Swiatek, Eds. Switzerland:\nSpringer Nature, 2022, vol. 364, pp. 261\u2013270.","DOI":"10.1007\/978-3-030-92604-5_23"},{"key":"ref9","unstructured":"I. Heppner and R. Rudek, \u201cImprove railway vehicle availability by\nscheduling under preventive maintenance policies,\u201d in 48th International\nConference on Computers & Industrial Engineering 2018 (CIE48),\nX. Xun, M. I. Dessouky, and R. Y. Zhong, Eds.\n Computers and\nIndustrial Engineering, 2018, pp. 2325\u20132332."},{"key":"ref10","doi-asserted-by":"publisher","unstructured":"R. Rudek, \u201cLocal search algorithms for a railway scheduling problem\nunder maintenance and cost criteria,\u201d in Models and Methods for\nSystems Engineering. Studies in Big Data, G. Borowik, G. Chmaj, and\nR. Waszkowski, Eds. Cham: Springer, 2025, vol. 165, pp. 39\u201349,\nhttps:\/\/doi.org\/10.1007\/978-3-031-76440-0_4.","DOI":"10.1007\/978-3-031-76440-0_4"},{"key":"ref11","doi-asserted-by":"crossref","unstructured":"Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution\nPrograms. New York: Springer-Verlag, 1996.","DOI":"10.1007\/978-3-662-03315-9"},{"key":"ref12","doi-asserted-by":"crossref","unstructured":"R. Rudek, \u201cA generic optimization framework for scheduling problems\nunder machine deterioration and maintenance activities,\u201d Computers &\nIndustrial Engineering, vol. 174, pp. 108 800.1\u201322, 2022.","DOI":"10.1016\/j.cie.2022.108800"}],"event":{"name":"20th Conference on Computer Science and Intelligence Systems (FedCSIS)","theme":"Computer Science and Intelligence Systems","location":"Krak\u00f3w, Poland","acronym":"FedCSIS","number":"20","start":{"date-parts":[[2025,9,14]]},"end":{"date-parts":[[2025,9,17]]}},"container-title":["Annals of Computer Science and Information Systems","Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS)"],"original-title":[],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T07:47:59Z","timestamp":1761119279000},"score":1,"resource":{"primary":{"URL":"https:\/\/annals-csis.org\/Volume_43\/drp\/9016.html"}},"subtitle":[],"proceedings-subject":"Computer Science and Information Systems","short-title":[],"issued":{"date-parts":[[2025,10,15]]},"references-count":12,"URL":"https:\/\/doi.org\/10.15439\/2025f9016","relation":{},"ISSN":["2300-5963"],"issn-type":[{"value":"2300-5963","type":"print"}],"subject":[],"published":{"date-parts":[[2025,10,15]]}}}