A Study on Container Storage Optimization in Yards Based on a Hyper-Heuristic Algorithm with a Q-Learning Mechanism
In the context of a low-carbon economy, scientific methods to reduce carbon emissions have become an important issue for many ports. Carbon emissions in port areas mainly arise from vessels and handling equipment. Therefore, an effective resource assignment and equipment arrangement system could not...
Uloženo v:
| Vydáno v: | International journal of computational intelligence systems Ročník 18; číslo 1; s. 163 - 24 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Dordrecht
Springer Netherlands
30.06.2025
Springer Nature B.V Springer |
| Témata: | |
| ISSN: | 1875-6883, 1875-6891, 1875-6883 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | In the context of a low-carbon economy, scientific methods to reduce carbon emissions have become an important issue for many ports. Carbon emissions in port areas mainly arise from vessels and handling equipment. Therefore, an effective resource assignment and equipment arrangement system could not only reduce carbon emissions, but also improve the port’s operational efficiency. This study considers factors such as the arrival order of container trailers, the cargo weight, and the number of container rehandling operations. The objective is to minimize the carbon emissions and the number of container rehandling operations in ports, for which a mixed-integer linear programming model is built. Both heuristic algorithms and hyper-heuristic algorithms are employed to optimize the container storage plan, and their applicability in storage optimization is compared. The results indicate that hyper-heuristic algorithms outperform heuristic algorithms in terms of solution quality and stability, effectively satisfying the storage requirements of the yard while minimizing the carbon emissions and the number of container rehandling operations. The results provide theoretical support for port enterprises in improving their operational efficiency and achieving their goals regarding low carbon emissions. |
|---|---|
| AbstractList | Abstract In the context of a low-carbon economy, scientific methods to reduce carbon emissions have become an important issue for many ports. Carbon emissions in port areas mainly arise from vessels and handling equipment. Therefore, an effective resource assignment and equipment arrangement system could not only reduce carbon emissions, but also improve the port’s operational efficiency. This study considers factors such as the arrival order of container trailers, the cargo weight, and the number of container rehandling operations. The objective is to minimize the carbon emissions and the number of container rehandling operations in ports, for which a mixed-integer linear programming model is built. Both heuristic algorithms and hyper-heuristic algorithms are employed to optimize the container storage plan, and their applicability in storage optimization is compared. The results indicate that hyper-heuristic algorithms outperform heuristic algorithms in terms of solution quality and stability, effectively satisfying the storage requirements of the yard while minimizing the carbon emissions and the number of container rehandling operations. The results provide theoretical support for port enterprises in improving their operational efficiency and achieving their goals regarding low carbon emissions. In the context of a low-carbon economy, scientific methods to reduce carbon emissions have become an important issue for many ports. Carbon emissions in port areas mainly arise from vessels and handling equipment. Therefore, an effective resource assignment and equipment arrangement system could not only reduce carbon emissions, but also improve the port’s operational efficiency. This study considers factors such as the arrival order of container trailers, the cargo weight, and the number of container rehandling operations. The objective is to minimize the carbon emissions and the number of container rehandling operations in ports, for which a mixed-integer linear programming model is built. Both heuristic algorithms and hyper-heuristic algorithms are employed to optimize the container storage plan, and their applicability in storage optimization is compared. The results indicate that hyper-heuristic algorithms outperform heuristic algorithms in terms of solution quality and stability, effectively satisfying the storage requirements of the yard while minimizing the carbon emissions and the number of container rehandling operations. The results provide theoretical support for port enterprises in improving their operational efficiency and achieving their goals regarding low carbon emissions. |
| ArticleNumber | 163 |
| Author | Lin, Jiajun Xu, Shihao Chen, Lifen |
| Author_xml | – sequence: 1 givenname: Lifen surname: Chen fullname: Chen, Lifen email: chenlifen0592@126.com organization: Navigation College, Jimei University – sequence: 2 givenname: Jiajun surname: Lin fullname: Lin, Jiajun organization: Navigation College, Jimei University – sequence: 3 givenname: Shihao surname: Xu fullname: Xu, Shihao organization: Navigation College, Jimei University |
| BookMark | eNp9kUGPFCEQhTtmTVzX_QOeSDyjRTfQcBwn6mwyZmPUgydSNHQvkxkYoSdm_PUy20Y9eQFSvPfVS97z5iqm6JvmJYPXDKB_UzhnWlJoBQXQIKh40lwz1Qsqlequ_nk_a25L2QFAyzgA59dNWZHP88mdSYpkneKMIfpcRynj5Mn9cQ6H8BPnUL9DJN8wu0LeYvHuYkCyOR99pht_yqHMYSCr_ZRymB8O5Ec9q-AT3XrMMcSJfPTDA8ZQDi-apyPui7_9fd80X9-_-7Le0O39h7v1akuHTrUzVQI1SOksoNNCodCKu55rpbEHqWHwvu-ttGwYB5TMOqWFAxyBDW2rrOhumruF6xLuzDGHA-azSRjM4yDlyWCuqffeoBsrVI1KCMfbVlrrrLd8kGPXaYd9Zb1aWMecvp98mc0unXKs8U3Xyp7zTjJeVe2iGnIqJfvxz1YG5tKVWboytSvz2JW5xOwWU6niOPn8F_0f1y9kaZi1 |
| Cites_doi | 10.3390/atmos13040550 10.1016/j.marpol.2023.105480 10.1109/TR.2024.3392919 10.1016/j.cie.2023.109753 10.3390/jmse10060717 10.1007/s00158-022-03432-5 10.1016/j.asoc.2014.06.035 10.1007/s10696-013-9183-6 10.1016/j.trb.2018.08.012 10.1109/TASE.2012.2198642 10.3390/math12213387 10.1016/j.tre.2015.05.004 10.1016/j.tre.2024.103420 10.3390/su9030462 10.1007/s10845-005-0018-5 10.1002/atr.1193 10.1016/j.ijpe.2010.09.019 10.1016/j.asoc.2007.05.007 10.1016/j.advengsoft.2016.01.008 10.1145/3196831 10.1016/j.cor.2004.08.005 10.1017/CBO9781107415416 10.1007/3-540-44629-X_11 10.1109/ICCCEEE49695.2021.9429683 10.1007/s10845-005-0013-x 10.1016/j.cor.2005.12.006 10.3390/app12125833 10.1016/j.cie.2018.10.024 10.1016/j.swevo.2021.100985 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2025 The Author(s) 2025. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: The Author(s) 2025 – notice: The Author(s) 2025. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | C6C AAYXX CITATION 7SC 8FD 8FE 8FG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO GNUQQ HCIFZ JQ2 K7- L7M L~C L~D P62 PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI PRINS DOA |
| DOI | 10.1007/s44196-025-00905-5 |
| DatabaseName | Springer Nature OA Free Journals CrossRef Computer and Information Systems Abstracts Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials - QC ProQuest Central Technology Collection ProQuest One Community College ProQuest Central Korea ProQuest Central Student SciTech Premium Collection ProQuest Computer Science Collection Computer Science Database Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic (New) ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef Computer Science Database ProQuest Central Student Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Computer and Information Systems Abstracts SciTech Premium Collection ProQuest One Community College ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest Central Korea ProQuest Central (New) Advanced Technologies Database with Aerospace Advanced Technologies & Aerospace Collection ProQuest One Academic Eastern Edition ProQuest Technology Collection ProQuest SciTech Collection Computer and Information Systems Abstracts Professional ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) |
| DatabaseTitleList | Computer Science Database |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Computer Science |
| EISSN | 1875-6883 |
| EndPage | 24 |
| ExternalDocumentID | oai_doaj_org_article_adfa708f855d4226bbdbeb4c6f339da7 10_1007_s44196_025_00905_5 |
| GroupedDBID | 0R~ 4.4 5GY AAFWJ AAJSJ AAKKN AASML ABEEZ ABFIM ACACY ACGFS ACULB ADBBV ADCVX AENEX AFGXO AFPKN ALMA_UNASSIGNED_HOLDINGS ARCSS AVBZW BCNDV C24 C6C CS3 DU5 EBLON EBS EJD GROUPED_DOAJ GTTXZ HZ~ J~4 O9- OK1 SOJ TFW TR2 AAYXX AFFHD AFKRA ARAPS BENPR BGLVJ CCPQU CITATION HCIFZ K7- PHGZM PHGZT PQGLB 7SC 8FD 8FE 8FG AZQEC DWQXO GNUQQ JQ2 L7M L~C L~D P62 PKEHL PQEST PQQKQ PQUKI PRINS |
| ID | FETCH-LOGICAL-c382t-85a9066db0ad958a5984d74989a70690cee77b6b1cfca61bd895d0af01c228b53 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 0 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001520516400003&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1875-6883 1875-6891 |
| IngestDate | Mon Nov 10 04:27:20 EST 2025 Sat Nov 01 15:12:44 EDT 2025 Sat Nov 29 07:53:13 EST 2025 Tue Jul 01 05:41:22 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Keywords | Hyper-heuristic algorithm Heuristic algorithm Carbon emissions Container rehandling operation |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c382t-85a9066db0ad958a5984d74989a70690cee77b6b1cfca61bd895d0af01c228b53 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| OpenAccessLink | https://doaj.org/article/adfa708f855d4226bbdbeb4c6f339da7 |
| PQID | 3267443614 |
| PQPubID | 4869256 |
| PageCount | 24 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_adfa708f855d4226bbdbeb4c6f339da7 proquest_journals_3267443614 crossref_primary_10_1007_s44196_025_00905_5 springer_journals_10_1007_s44196_025_00905_5 |
| PublicationCentury | 2000 |
| PublicationDate | 2025-06-30 |
| PublicationDateYYYYMMDD | 2025-06-30 |
| PublicationDate_xml | – month: 06 year: 2025 text: 2025-06-30 day: 30 |
| PublicationDecade | 2020 |
| PublicationPlace | Dordrecht |
| PublicationPlace_xml | – name: Dordrecht – name: Abingdon |
| PublicationTitle | International journal of computational intelligence systems |
| PublicationTitleAbbrev | Int J Comput Intell Syst |
| PublicationYear | 2025 |
| Publisher | Springer Netherlands Springer Nature B.V Springer |
| Publisher_xml | – name: Springer Netherlands – name: Springer Nature B.V – name: Springer |
| References | D Karaboga (905_CR7) 2008; 8 WB Zhu (905_CR21) 2012; 9 YH Yin (905_CR12) 2021; 21 P Cowling (905_CR10) 2001; 2079 YP Gao (905_CR22) 2024; 138 S Mirjalili (905_CR9) 2016; 95 D Karaboga (905_CR8) 2014; 23 H Kim (905_CR16) 2006; 33 T Rozic (905_CR23) 2022; 12 MEH Petering (905_CR14) 2015; 2 Y Yu (905_CR38) 2022; 13 YJ Feng (905_CR29) 2017; 26 PF Huang (905_CR33) 2024; 12 905_CR2 905_CR3 MJ Ji (905_CR32) 2015; 80 905_CR1 905_CR6 P Cao (905_CR47) 2022; 66 QC Zeng (905_CR15) 2017; 17 905_CR4 GJ Chen (905_CR31) 2024; 73 RJ Zhao (905_CR44) 2021; 47 TS Wang (905_CR43) 2018; 117 Y Yu (905_CR39) 2022; 10 XM You (905_CR25) 2020; 41 L Cheng (905_CR48) 2022; 69 XB Huang (905_CR35) 2018 Y Xu (905_CR17) 2008; 20 L Yang (905_CR42) 2017; 9 YS Lee (905_CR26) 2007; 34 SD Liu (905_CR36) 2024; 9 905_CR46 O Olgay (905_CR41) 2023; 149 L Chen (905_CR18) 2012; 135 T ünlüyurt (905_CR27) 2012; 46 PF Zhou (905_CR20) 2013; 33 YY Zhang (905_CR45) 2018; 27 MJ Ji (905_CR19) 2016; 36 YT Song (905_CR37) 2025; 33 K Jaeho (905_CR11) 2006; 17 F Gharehchopogh (905_CR50) 2023; 135 WH Wang (905_CR13) 2023; 186 J Holland (905_CR5) 1975 WW Zhou (905_CR34) 2023; 44 QC Zeng (905_CR30) 2019; 127 HX Zheng (905_CR28) 2021; 30 P Garrido (905_CR49) 2012; 119 JH Yang (905_CR24) 2006; 17 Y Yi (905_CR40) 2021; 30 |
| References_xml | – volume: 41 start-page: 1 issue: 04 year: 2020 ident: 905_CR25 publication-title: J. Shanghai Maritime Univ. – ident: 905_CR4 – volume: 13 start-page: 550 issue: 4 year: 2022 ident: 905_CR38 publication-title: Atmosphere doi: 10.3390/atmos13040550 – volume: 149 start-page: 105480 year: 2023 ident: 905_CR41 publication-title: Mar. Policy doi: 10.1016/j.marpol.2023.105480 – volume: 73 start-page: 1569 issue: 3 year: 2024 ident: 905_CR31 publication-title: IEEE Trans. Reliab. doi: 10.1109/TR.2024.3392919 – volume: 21 start-page: 10956 issue: 25 year: 2021 ident: 905_CR12 publication-title: Sci. Technol. Eng. – volume: 186 start-page: 109753 issue: 12 year: 2023 ident: 905_CR13 publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2023.109753 – volume: 10 start-page: 717 issue: 6 year: 2022 ident: 905_CR39 publication-title: J. Marine Sci. Eng. doi: 10.3390/jmse10060717 – volume: 30 start-page: 7011 issue: 6 year: 2021 ident: 905_CR40 publication-title: Fresenius Environ. Bull. – volume: 66 start-page: 16 issue: 1 year: 2022 ident: 905_CR47 publication-title: Struct. Multidiscip. Optim. doi: 10.1007/s00158-022-03432-5 – ident: 905_CR3 – volume: 47 start-page: 56 issue: 4 year: 2021 ident: 905_CR44 publication-title: J. Dalian Maritime Univ. – volume: 23 start-page: 227 year: 2014 ident: 905_CR8 publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2014.06.035 – volume: 2 start-page: 351 issue: 27 year: 2015 ident: 905_CR14 publication-title: Flex. Serv. Manuf. J. doi: 10.1007/s10696-013-9183-6 – volume: 117 start-page: 18 issue: 11 year: 2018 ident: 905_CR43 publication-title: Transp. Res. Part B Methodol. doi: 10.1016/j.trb.2018.08.012 – volume: 9 start-page: 710 issue: 4 year: 2012 ident: 905_CR21 publication-title: Trans. Autom. Sci. Eng. doi: 10.1109/TASE.2012.2198642 – volume: 36 start-page: 1555 issue: 6 year: 2016 ident: 905_CR19 publication-title: Syst. Eng. Theory Pract. – volume: 12 start-page: 3387 issue: 21 year: 2024 ident: 905_CR33 publication-title: Mathematics doi: 10.3390/math12213387 – volume: 80 start-page: 1 year: 2015 ident: 905_CR32 publication-title: Transp. Res. Part E Logist. Transp. Rev. doi: 10.1016/j.tre.2015.05.004 – ident: 905_CR2 – volume: 138 start-page: 103420 issue: 3 year: 2024 ident: 905_CR22 publication-title: Transp. Res. Part E Logist. Transp. Rev. doi: 10.1016/j.tre.2024.103420 – volume: 9 start-page: 462 issue: 3 year: 2017 ident: 905_CR42 publication-title: Sustainability doi: 10.3390/su9030462 – volume: 33 start-page: 351 issue: 3 year: 2025 ident: 905_CR37 publication-title: China J. Manage. Sci. – volume: 17 start-page: 453 issue: 4 year: 2006 ident: 905_CR24 publication-title: J. Intell. Manuf. doi: 10.1007/s10845-005-0018-5 – volume: 20 start-page: 3666 issue: 14 year: 2008 ident: 905_CR17 publication-title: J. Syst. Simul. – volume: 119 start-page: 29 issue: 1 year: 2012 ident: 905_CR49 publication-title: Fundam. Inf. – volume: 46 start-page: 378 issue: 4 year: 2012 ident: 905_CR27 publication-title: J. Adv. Transp. doi: 10.1002/atr.1193 – volume: 135 start-page: 73 issue: 1 year: 2012 ident: 905_CR18 publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2010.09.019 – volume: 135 start-page: 1981 issue: 3 year: 2023 ident: 905_CR50 publication-title: Comput. Model. Eng. Sci. – ident: 905_CR6 – volume: 8 start-page: 687 issue: 1 year: 2008 ident: 905_CR7 publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2007.05.007 – volume: 95 start-page: 51 issue: 5 year: 2016 ident: 905_CR9 publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2016.01.008 – volume: 27 start-page: 1 issue: 1 year: 2018 ident: 905_CR45 publication-title: ACM Trans. Softw. Eng. Methodol. doi: 10.1145/3196831 – volume: 33 start-page: 940 issue: 14 year: 2006 ident: 905_CR16 publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2004.08.005 – volume: 30 start-page: 48 issue: 9 year: 2021 ident: 905_CR28 publication-title: Oper. Res. Manag. Sci. – volume-title: Adaptation in Natural and Artificial System year: 1975 ident: 905_CR5 – volume-title: Study on the route optimization of port loading and unloading equipment considering carbon emissions year: 2018 ident: 905_CR35 – ident: 905_CR1 doi: 10.1017/CBO9781107415416 – volume: 44 start-page: 48 issue: 03 year: 2023 ident: 905_CR34 publication-title: J. Shanghai Maritime Univ. – volume: 2079 start-page: 176 year: 2001 ident: 905_CR10 publication-title: Lect. Notes Comput. Sci. doi: 10.1007/3-540-44629-X_11 – ident: 905_CR46 doi: 10.1109/ICCCEEE49695.2021.9429683 – volume: 17 start-page: 399 issue: 4 year: 2006 ident: 905_CR11 publication-title: J. Intell. Manuf. doi: 10.1007/s10845-005-0013-x – volume: 9 start-page: 1 year: 2024 ident: 905_CR36 publication-title: J. Comput. Appl. – volume: 34 start-page: 3295 issue: 11 year: 2007 ident: 905_CR26 publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2005.12.006 – volume: 33 start-page: 3145 issue: 12 year: 2013 ident: 905_CR20 publication-title: Syst. Eng. Theory Pract. – volume: 26 start-page: 110 issue: 5 year: 2017 ident: 905_CR29 publication-title: Oper. Res. Manag. Sci. – volume: 12 start-page: 5833 issue: 12 year: 2022 ident: 905_CR23 publication-title: Appl. Sci. doi: 10.3390/app12125833 – volume: 127 start-page: 366 year: 2019 ident: 905_CR30 publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2018.10.024 – volume: 69 start-page: 100985 year: 2022 ident: 905_CR48 publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2021.100985 – volume: 17 start-page: 191 issue: 01 year: 2017 ident: 905_CR15 publication-title: J. Transp. Syst. Eng. Inf. Technol. |
| SSID | ssj0002140044 ssib050732782 |
| Score | 2.3552258 |
| Snippet | In the context of a low-carbon economy, scientific methods to reduce carbon emissions have become an important issue for many ports. Carbon emissions in port... Abstract In the context of a low-carbon economy, scientific methods to reduce carbon emissions have become an important issue for many ports. Carbon emissions... |
| SourceID | doaj proquest crossref springer |
| SourceType | Open Website Aggregation Database Index Database Publisher |
| StartPage | 163 |
| SubjectTerms | Algorithms Artificial Intelligence Carbon Carbon emissions Computational Intelligence Container rehandling operation Containers Control Efficiency Emissions Energy consumption Engineering Genetic algorithms Handling equipment Heuristic Heuristic algorithm Heuristic methods Hyper-heuristic algorithm Integer programming Linear programming Literature reviews Machine learning Maritime industry Mathematical Logic and Foundations Mechatronics Mixed integer Optimization Optimization algorithms Ports Research Article Robotics Simulation |
| SummonAdditionalLinks | – databaseName: Computer Science Database dbid: K7- link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELagcODS8hRLC_KBG1gkjh3bp2qLqFYCCkiAysnyI15W6mbLZovEv2fG67QqEly4Ok400Xye-fyYz4Q8hxyP1R-GqVhJmKCIlvmgHWs67wBgKVRZnf_rO3Vyok9Pzcey4DaUY5VjTMyBOq4CrpG_ApqhhGggmxye_2B4axTurpYrNG6SWzXnNeL8rWIjnoDqNHxUa8fIzGtEbN5oBprOWm3qUkeTq-mAGeQTuZIB8QDL5bVclSX9r_HQP7ZOc0Y63vvff7lLdgsXpdMteO6RG11_n-yN9zzQMuwfkGFK8bjhL7rqKapZOSwYhCZAz7yjHyDoLEs1J1309BuWcdEjyI4RX3B0BlPdNZt1F1tRaDo9m4Mxm-9LiovA0OETKyqvc_q-w0rkxbB8SL4cv_n8esbKZQ0sNJpvmJbOAH2JvnLRSO2k0SIqYbQBn8MUHJKxUr71dUjBtbWP2shYuVTVgXPtZfOI7PSrvntMaOTIO6RQbQJ-I4x3XKda-brSnRZNmpAXo1vs-VaTw16qL2cnWnCizU60ckKO0HOXPVFPOzes1nNbhqd1MYGZOmkpI9YWex9950VoU9OY6NSEHIyetGWQD_bKjRPycsTC1eO_m_Tk31_bJ3d4RiGeSjwgO5v1RfeU3A4_N4th_SxD_Deb4_2q priority: 102 providerName: ProQuest – databaseName: Springer Journals Complete - Open Access dbid: C24 link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3PbxQhFH7R6sEeWq0at62GgzclmR8wwHHb2OxBqyZq6onAANtN3Fkzs23if--DZbbW6EGvDBDCe_A-hvd9ALzEGB_ZH4oKV3A8oLCG2lYaWntr0MFCWyR1_i9vxfm5vLhQHzIpbBiz3ccrybRTb8luGLhTwiyniAuwY34X7vFSqujXp5njEPffqox-yTJD5s9Nb0WhJNZ_C2H-dimaYs3Z_v-N8iHsZWxJphtneAR3fHcA--O7DSQv4wPY_UWE8DEMUxKTCX-QVUeiVpWJdEAsQt-Ye_Iet5Rl5mqSRUe-RpIWOcHY52IDQ2Z4kO3pzF9tJJ_J9Nt81S_Wl0sSf_FihY80a7jOyTsfecaLYfkEPp-9-XQ6o_kpBtrWslpTyY1CcOJsYZzi0nAlmRNMSYUWxQM2hlohbGPLNrSmKa2TirvChKJsq0paXj-FnW7V-WdAXBVRBWeiCYhemLKmkqEUtiykl6wOE3g1mkZ_3yhu6K22cppdjbOr0-xqPoGTaL1tzaiWnQpW_VznxaeNCzhMGSTnLjKHrXXWW9Y2oa6VM2ICx6PtdV7Cg0ZcKxirEb5M4PVo65vPfx_S4b9VP4IHVXKXmIN4DDvr_so_h_vt9Xox9C-Sa_8ESXPydw priority: 102 providerName: Springer Nature |
| Title | A Study on Container Storage Optimization in Yards Based on a Hyper-Heuristic Algorithm with a Q-Learning Mechanism |
| URI | https://link.springer.com/article/10.1007/s44196-025-00905-5 https://www.proquest.com/docview/3267443614 https://doaj.org/article/adfa708f855d4226bbdbeb4c6f339da7 |
| Volume | 18 |
| WOSCitedRecordID | wos001520516400003&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1875-6883 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002140044 issn: 1875-6883 databaseCode: DOA dateStart: 20080101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1875-6883 dateEnd: 99991231 omitProxy: false ssIdentifier: ssib050732782 issn: 1875-6883 databaseCode: M~E dateStart: 20120101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 1875-6883 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002140044 issn: 1875-6883 databaseCode: K7- dateStart: 20140101 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1875-6883 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002140044 issn: 1875-6883 databaseCode: BENPR dateStart: 20140101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVAVX databaseName: SpringerLINK customDbUrl: eissn: 1875-6883 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002140044 issn: 1875-6883 databaseCode: C24 dateStart: 20211201 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1NbxMxEB1B4dBLWyiooW3kAzdqsR_22j4mVatIQCiIVuVk2Ws7jdRsUJIi8e879m76gYR64bIHry2NPGPP8-68Z4D3mOMj-0NR4TKOBxRWUVtLQ0tvDQZYqLOkzn_xWYzH8vJSnT246ivWhLXywO3EfTQu4CAZJOcusj6tddZbVlehLJUziUeOqOfBYSruwUUeY5N1LJnElcO8n-ptOUVYgXbxR5koCfY_Qpl__RhN-eZ0B7Y6oEgGrYGv4JlvXsP2-hIG0q3JXVgOSKwF_EPmDYlSUyay-bAJXTvx5CvuCLOOakmmDfkZOVZkiKnLxQGGjPAcuqAjf9MqNpPB9WS-mK6uZiR-ocUO32gnwTohX3ykCU-Xszdwfnry43hEu5sUaF3KYkUlNwqxhbOZcYpLw5VkTjAlFc4tno8xUwphK5vXoTZVbp1U3GUmZHldFNLy8i1sNPPG7wFxRQQFnIkqIPhgyppChlzYPJNesjL04MN6VvWvVjBD30kjJx9o9IFOPtC8B8M48Xc9o9h1asAQ0F0I6KdCoAcHa7fpbgUuNcJSwViJ6KMHR2tX3r_-t0nv_odJ-7BZpFCLhYUHsLFa3PhDeFn_Xk2Xiz68GJ6Mz7734flxwfopcvH5SdBbl6DvNg |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3Nb9MwFLemDQkujE9RGOADnMAicezYPiDUwqZO68pAA42TZ8dJqUTT0XSg_VP8jbznJpuGBLcduDpOZDu_92X79x4hz8DGI_vDMBUSCQGKyJkvtGNZ6R0ArCqSmJ3_80iNx_royByskV8dFwavVXY6MSrqMC9wj_wVuBlKiAysyZuT7wyrRuHpaldCYwWLvfLsJ4Rszevdd_B_n3O-s334dsjaqgKsyDRfMi2dATsbfOKCkdpJo0VQwmgDg4NYEayGUj73aVEVLk990EaGxFVJWnCuPVaJAJW_ITKhQK42Btvjg48dgsG5yniXHx5tAU9RRuLRNgQGLNcmbZk7kb8Hvki8AywZuDqwVvKSdYxFBC55vn8c1kYbuLP5v63eLXKz9bZpfyUet8laWd8hm10lC9oqtruk6VO8UHlG5zXFfF0OKZHQBPIxKel7UKuzlq9KpzX9gkQ1OgD7H_AFR4cQzC_YsDxdpb2m_W8TmPzy64ziNjd0-MDaPLYTul8i13razO6RT1cy9ftkvZ7X5QNCA0fPSgqVV-DBCeMd11WqfJroUous6pEXHQzsySrriD3PLx1BYwE0NoLGyh4ZIFLOe2LG8NgwX0xsq4CsCxUMU1dayoDsae-DL70o8irLTHCqR7Y65NhWjTX2AjY98rLD3sXjvw_p4b-_9pRcHx7uj-xod7z3iNzgUQLwDuYWWV8uTsvH5FrxYzltFk9aAaPk-KpR-RussVwr |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Nb9QwEB1BQQgOFAqIhQI-cAOr-bAT-7gtrBZRliIBKifLju1lJTZbZVMk_j1jr7O0CA6Ia2IrlmfseRPPewZ4jjE-sD8krW3GMUFhFTWN0LR0RqOD-SaL6vyfj-vZTJyeypMLLP5Y7T4cSW44DUGlqe0Pzqw_2BLfMIjH4llOESPgR_hVuBZOpEL6dZT4DmEvLvLgoyyxZf7c9VJEisL9l9DmbwekMe5Mdv9_xHfgdsKcZLxxkrtwxbV7sDvc50DS8t6DWxfECe_BekxCkeEPsmpJ0LDSgSaIj9Bn5o68x61mmTicZNGSL4G8RQ4xJtrQQZMpJrgdnbrzjRQ0GX-br7pF_3VJwq9fbPCBJm3XOXnnAv94sV7eh0-T1x-PpjRd0UCbUhQ9FVxLBC3WZNpKLjSXgtmaSSHR0ph4Ywiua1OZvPGNrnJjheQ20z7Lm6IQhpcPYKddte4hEFsEtMFZXXlENUwaXQif1ybPhBOs9CN4MZhJnW2UONRWcznOrsLZVXF2FR_BYbDktmVQ0Y4PVt1cpUWptPU4TOEF5zYwio2xxhnWVL4spdX1CPYHP1Bpaa8V4t2asRJhzQheDnb_9frvQ3r0b82fwY2TVxN1_Gb29jHcLKLnhDLFfdjpu3P3BK433_vFunsaPf4nVZT-QA |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+Study+on+Container+Storage+Optimization+in+Yards+Based+on+a+Hyper-Heuristic+Algorithm+with+a+Q-Learning+Mechanism&rft.jtitle=International+journal+of+computational+intelligence+systems&rft.au=Lifen+Chen&rft.au=Jiajun+Lin&rft.au=Shihao+Xu&rft.date=2025-06-30&rft.pub=Springer&rft.eissn=1875-6883&rft.volume=18&rft.issue=1&rft.spage=1&rft.epage=24&rft_id=info:doi/10.1007%2Fs44196-025-00905-5&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_adfa708f855d4226bbdbeb4c6f339da7 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1875-6883&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1875-6883&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1875-6883&client=summon |