{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:44:02Z","timestamp":1743122642772,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031824807"},{"type":"electronic","value":"9783031824814"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-82481-4_18","type":"book-chapter","created":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T15:44:27Z","timestamp":1741016667000},"page":"256-271","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Learn to\u00a0Create Neighborhoods in\u00a0Real-World Vehicle Routing Problem"],"prefix":"10.1007","author":[{"given":"Willem","family":"Feijen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Koen","family":"Dekker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan H. M.","family":"van Zwam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,3,4]]},"reference":[{"issue":"1","key":"18_CR1","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1080\/00207543.2021.2013566","volume":"61","author":"R Bai","year":"2023","unstructured":"Bai, R., et al.: Analytics and machine learning in vehicle routing research. Int. J. Prod. Res. 61(1), 4\u201330 (2023)","journal-title":"Int. J. Prod. Res."},{"key":"18_CR2","doi-asserted-by":"crossref","unstructured":"Bengio, Y., Lodi, A., Prouvost, A.: Machine learning for combinatorial optimization: a methodological tour d\u2019horizon. EJOR (2020)","DOI":"10.1016\/j.ejor.2020.07.063"},{"key":"18_CR3","unstructured":"Bogyrbayeva, A., Meraliyev, M., Mustakhov, T., Dauletbayev, B.: Learning to solve vehicle routing problems: a survey. arXiv preprint arXiv:2205.02453 (2022)"},{"key":"18_CR4","unstructured":"Coupey, J., Nicod, J.M., Varnier, C.: VROOM v1.13, Vehicle Routing Open-source Optimization Machine (2023). http:\/\/vroom-project.org\/"},{"issue":"1","key":"18_CR5","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1016\/0377-2217(91)90319-Q","volume":"54","author":"Y Dumas","year":"1991","unstructured":"Dumas, Y., Desrosiers, J., Soumis, F.: The pickup and delivery problem with time windows. EJOR 54(1), 7\u201322 (1991)","journal-title":"EJOR"},{"key":"18_CR6","doi-asserted-by":"crossref","unstructured":"Feijen, W., Sch\u00e4fer, G., Dekker, K., Pieterse, S.: Learning-enhanced neighborhood selection for the vehicle routing problem with time windows (2024)","DOI":"10.2139\/ssrn.4988874"},{"issue":"1","key":"18_CR7","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1016\/j.ejor.2004.01.027","volume":"162","author":"J Homberger","year":"2005","unstructured":"Homberger, J., Gehring, H.: A two-phase hybrid metaheuristic for the vehicle routing problem with time windows. EJOR 162(1), 220\u2013238 (2005)","journal-title":"EJOR"},{"key":"18_CR8","unstructured":"Hottung, A., Tierney, K.: Neural large neighborhood search for the capacitated vehicle routing problem. In: ECAI 2020, pp. 443\u2013450. IOS Press (2020)"},{"key":"18_CR9","unstructured":"Kerscher, C., Minner, S.: Spatial-temporal-demand clustering for solving large-scale vehicle routing problems with time windows. arXiv preprint (2024)"},{"key":"18_CR10","unstructured":"Kool, W., van Hoof, H., Welling, M.: Attention, learn to solve routing problems! In: 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, 6\u20139 May 2019 (2019)"},{"key":"18_CR11","first-page":"26198","volume":"34","author":"S Li","year":"2021","unstructured":"Li, S., Yan, Z., Wu, C.: Learning to delegate for large-scale vehicle routing. Adv. Neural. Inf. Process. Syst. 34, 26198\u201326211 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Ropke, S., Pisinger, D.: An adaptive large neighborhood search heuristic for the pickup and delivery problem with time windows. Transp. Sci. 40(4) (2006)","DOI":"10.1287\/trsc.1050.0135"},{"issue":"3","key":"18_CR13","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1287\/ijoc.2023.1288","volume":"35","author":"A Santini","year":"2023","unstructured":"Santini, A., Schneider, M., Vidal, T., Vigo, D.: Decomposition strategies for vehicle routing heuristics. INFORMS J. Comput. 35(3), 543\u2013559 (2023)","journal-title":"INFORMS J. Comput."},{"key":"18_CR14","unstructured":"Sintef: Transportation optimization portal, vrptw 1000 customers (2008). https:\/\/www.sintef.no\/projectweb\/top\/vrptw\/1000-customers\/. Accessed 1 June 2023"},{"key":"18_CR15","unstructured":"Systemes, D.: Delmia quintiq logistics planning (2023). https:\/\/www.3ds.com\/products\/delmia\/quintiq\/logistics-planning"},{"key":"18_CR16","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems, pp. 5999\u20136009 (2017)"},{"key":"18_CR17","doi-asserted-by":"crossref","unstructured":"Williams, R.J.: Simple statistical gradient-following algorithms for connectionist reinforcement learning. In: Reinforcement Learning, pp. 5\u201332 (1992)","DOI":"10.1007\/978-1-4615-3618-5_2"},{"key":"18_CR18","unstructured":"Wu, Y., Song, W., Cao, Z., Zhang, J., Lim, A.: Learning improvement heuristics for solving routing problems. arXiv preprint arXiv:1912.05784 (2019)"}],"container-title":["Lecture Notes in Computer Science","Machine Learning, Optimization, and Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-82481-4_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T15:44:31Z","timestamp":1741016671000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-82481-4_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031824807","9783031824814"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-82481-4_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"4 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"LOD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Machine Learning, Optimization, and Data Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Castiglione della Pescaia","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mod2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/lod2024.icas.events\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}