{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T16:07:55Z","timestamp":1789229275393,"version":"build-2803163510"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819669509","type":"print"},{"value":"9789819669516","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T00:00:00Z","timestamp":1751846400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T00:00:00Z","timestamp":1751846400000},"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":[[2026]]},"DOI":"10.1007\/978-981-96-6951-6_6","type":"book-chapter","created":{"date-parts":[[2025,7,6]],"date-time":"2025-07-06T15:30:36Z","timestamp":1751815836000},"page":"75-88","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Deep Reinforcement Learning Algorithm for Solving Airport Gate Allocation Problem"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-5251-7257","authenticated-orcid":false,"given":"Andong","family":"Jia","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongyu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianghui","family":"Yi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,7]]},"reference":[{"key":"6_CR1","first-page":"679","volume":"6","author":"R Bellman","year":"1957","unstructured":"Bellman, R.: A Markovian decision process. J. Math. Mech. 6, 679\u2013684 (1957)","journal-title":"J. Math. Mech."},{"key":"6_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.114629","volume":"171","author":"X Cai","year":"2021","unstructured":"Cai, X., et al.: An improved quantum-inspired cooperative co-evolution algorithm with muli-strategy and its application. Expert Syst. Appl. 171, 114629 (2021)","journal-title":"Expert Syst. Appl."},{"issue":"9","key":"6_CR3","doi-asserted-by":"publisher","first-page":"4488","DOI":"10.1109\/TCYB.2019.2956974","volume":"51","author":"X Cai","year":"2019","unstructured":"Cai, X., et al.: A bi-objective constrained robust gate assignment problem: formulation, instances and algorithm. IEEE Trans. Cybern. 51(9), 4488\u20134500 (2019)","journal-title":"IEEE Trans. Cybern."},{"issue":"16","key":"6_CR4","doi-asserted-by":"publisher","first-page":"12430","DOI":"10.1016\/j.eswa.2012.04.071","volume":"39","author":"CH Cheng","year":"2012","unstructured":"Cheng, C.H., Ho, S.C., Kwan, C.L.: The use of meta-heuristics for airport gate assignment. Expert Syst. Appl. 39(16), 12430\u201312437 (2012)","journal-title":"Expert Syst. Appl."},{"key":"6_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.omega.2019.102146","volume":"92","author":"GS Da\u015f","year":"2020","unstructured":"Da\u015f, G.S., Gzara, F., St\u00fctzle, T.: A review on airport gate assignment problems: single versus multi objective approaches. Omega 92, 102146 (2020)","journal-title":"Omega"},{"issue":"1","key":"6_CR6","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1108\/K-08-2017-0279","volume":"47","author":"W Deng","year":"2018","unstructured":"Deng, W., Sun, M., Zhao, H., Li, B., Wang, C.: Study on an airport gate assignment method based on improved ACO algorithm. Kybernetes 47(1), 20\u201343 (2018)","journal-title":"Kybernetes"},{"issue":"1","key":"6_CR7","first-page":"2185497","volume":"11","author":"W Du","year":"2023","unstructured":"Du, W., Zhu, S., Tong, L., Cai, K., Liang, Z.: Robust gate assignment to minimise aircraft conflicts. Transportmetrica B: Transp. Dyn. 11(1), 2185497 (2023)","journal-title":"Transportmetrica B: Transp. Dyn."},{"key":"6_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.omega.2021.102422","volume":"103","author":"\u00d6 Karsu","year":"2021","unstructured":"Karsu, \u00d6., Azizo\u011flu, M., Alanl\u0131, K.: Exact and heuristic solution approaches for the airport gate assignment problem. Omega 103, 102422 (2021)","journal-title":"Omega"},{"key":"6_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2022.106073","volume":"151","author":"\u00d6 Karsu","year":"2023","unstructured":"Karsu, \u00d6., Solyal\u0131, O.: A new formulation and an effective matheuristic for the airport gate assignment problem. Comput. Oper. Res. 151, 106073 (2023)","journal-title":"Comput. Oper. Res."},{"issue":"1","key":"6_CR10","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1016\/j.ejor.2021.12.019","volume":"302","author":"M Li","year":"2022","unstructured":"Li, M., Hao, J.K., Wu, Q.: Learning-driven feasible and infeasible tabu search for airport gate assignment. Eur. J. Oper. Res. 302(1), 172\u2013186 (2022)","journal-title":"Eur. J. Oper. Res."},{"key":"6_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2021.103217","volume":"129","author":"Y Li","year":"2021","unstructured":"Li, Y., Clarke, J.P., Dey, S.S.: Using submodularity within column generation to solve the flight-to-gate assignment problem. Transp. Res. Part C: Emerg. Technol. 129, 103217 (2021)","journal-title":"Transp. Res. Part C: Emerg. Technol."},{"key":"6_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121747","volume":"238","author":"M Mamdouh","year":"2024","unstructured":"Mamdouh, M., Ezzat, M., Hefny, H.: Improving flight delays prediction by developing attention-based bidirectional LSTM network. Expert Syst. Appl. 238, 121747 (2024)","journal-title":"Expert Syst. Appl."},{"issue":"23","key":"6_CR13","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1177\/0361198118781386","volume":"2672","author":"S Mokhtarimousavi","year":"2018","unstructured":"Mokhtarimousavi, S., Talebi, D., Asgari, H.: A non-dominated sorting genetic algorithm approach for optimization of multi-objective airport gate assignment problem. Transp. Res. Rec. 2672(23), 59\u201370 (2018)","journal-title":"Transp. Res. Rec."},{"key":"6_CR14","doi-asserted-by":"publisher","unstructured":"Muhaf\u0131z\u00a0Y\u0131ld\u0131z, M., Avc\u0131, U., \u00d6rnek, M.A., \u00d6zt\u00fcrk, C.: Flight gate assignment problem with reinforcement learning. In: International Conference on Intelligent and Fuzzy Systems, pp. 189\u2013196. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-72506-7.pdf","DOI":"10.1007\/978-3-031-72506-7.pdf"},{"key":"6_CR15","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.cie.2018.05.038","volume":"123","author":"M Pternea","year":"2018","unstructured":"Pternea, M., Haghani, A.: Mathematical models for flight-to-gate reassignment with passenger flows: state-of-the-art comparative analysis, formulation improvement, and a new multidimensional assignment model. Comput. Ind. Eng. 123, 103\u2013118 (2018)","journal-title":"Comput. Ind. Eng."},{"key":"6_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2022.108100","volume":"168","author":"Y She","year":"2022","unstructured":"She, Y., Zhao, Q., Guo, R., Yu, X.: A robust strategy to address the airport gate assignment problem considering operators\u2019 preferences. Compu. Ind. Eng. 168, 108100 (2022)","journal-title":"Compu. Ind. Eng."},{"key":"6_CR17","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.cie.2015.12.013","volume":"93","author":"C Yu","year":"2016","unstructured":"Yu, C., Zhang, D., Lau, H.Y.: MIP-based heuristics for solving robust gate assignment problems. Comput. Ind. Eng. 93, 171\u2013191 (2016)","journal-title":"Comput. Ind. Eng."},{"key":"6_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.119892","volume":"654","author":"Z Zhu","year":"2024","unstructured":"Zhu, Z., Li, X., Chen, H., Zhou, X., Deng, W.: An effective and robust genetic algorithm with hybrid multi-strategy and mechanism for airport gate allocation. Inf. Sci. 654, 119892 (2024)","journal-title":"Inf. Sci."}],"container-title":["Communications in Computer and Information Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-6951-6_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T16:04:02Z","timestamp":1789229042000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-6951-6_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,7]]},"ISBN":["9789819669509","9789819669516"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-6951-6_6","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,7]]},"assertion":[{"value":"7 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Auckland","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New Zealand","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":"2 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iconip2024.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}