•  English
    • Persian
    • English
  •   Login
  • Ferdowsi University of Mashhad
  • |
  • Information Center and Central Library
    • Persian
    • English
  • Home
  • Source Types
    • Journal Paper
    • Ebook
    • Conference Paper
    • Standard
    • Protocol
    • Thesis
  • Use Help
View Item 
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  • All Fields
  • Title
  • Author
  • Year
  • Publisher
  • Subject
  • Publication Title
  • ISSN
  • DOI
  • ISBN
Advanced Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

A biologically inspired solution for fuzzy shortest path problems

Author:
Zhang, Yajuan
,
Zhang, Zili
,
Deng, Yong
,
Mahadevan, Sankaran
Publisher:
Elsevier Science
Year
: 2013
DOI: 10.1016/j.asoc.2012.12.035
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/308304
Collections :
  • Latin Articles
  • Download: (774.6Kb)
  • Show Full MetaData Hide Full MetaData
  • Statistics

    A biologically inspired solution for fuzzy shortest path problems

Show full item record

contributor authorZhang, Yajuan
contributor authorZhang, Zili
contributor authorDeng, Yong
contributor authorMahadevan, Sankaran
date accessioned2020-03-10T21:23:52Z
date available2020-03-10T21:23:52Z
date issued2013
identifier otherp70TrXkeyfVTKXgnllia2CJ4RlOoPYZ6uQOof5mSrDh_0QN4ug.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/308304
formatgeneral
languageEnglish
publisherElsevier Science
titleA biologically inspired solution for fuzzy shortest path problems
typeJournal Paper
contenttypeFulltext
contenttypeFulltext
identifier padid1945487
identifier doi10.1016/j.asoc.2012.12.035
journal titleApplied Soft Computing
coverageAcademic
pages2356-2363
journal volume13
journal issue5
filesize793083
citations5
  • About Us
نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
DSpace software copyright © 2019-2022  DuraSpace