View in EDS

Optimizing the multi-objective traveling salesman problem with a deep reinforcement learning algorithm using cross fusion attention networks.

Saved in:
Bibliographic Details
Title: Optimizing the multi-objective traveling salesman problem with a deep reinforcement learning algorithm using cross fusion attention networks.
Authors: Fu, Xiaoyu1, xiaoyufu@shu.edu.cn, Gu, Shenshen1, gushenshen@shu.edu.cn, Chew, Chee-Meng2, chewcm@nus.edu.sg
Source: Neural Networks; Dec2025, Vol. 192, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189383613
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Optimizing the multi-objective traveling salesman problem with a deep reinforcement learning algorithm using cross fusion attention networks.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Fu%2C+Xiaoyu%22">Fu, Xiaoyu</searchLink><relatesTo>1</relatesTo>, <i>xiaoyufu@shu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Gu%2C+Shenshen%22">Gu, Shenshen</searchLink><relatesTo>1</relatesTo>, <i>gushenshen@shu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Chew%2C+Chee-Meng%22">Chew, Chee-Meng</searchLink><relatesTo>2</relatesTo>, <i>chewcm@nus.edu.sg</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Neural+Networks%22">Neural Networks</searchLink>; Dec2025, Vol. 192, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189383613
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.neunet.2025.107904
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Optimizing the multi-objective traveling salesman problem with a deep reinforcement learning algorithm using cross fusion attention networks.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Fu, Xiaoyu
      – PersonEntity:
          Name:
            NameFull: Gu, Shenshen
      – PersonEntity:
          Name:
            NameFull: Chew, Chee-Meng
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 08936080
          Numbering:
            – Type: volume
              Value: 192
          Titles:
            – TitleFull: Neural Networks
              Type: main
ResultId 1