Physarum-based ant colony optimization for graph coloring problem

Lv, Lingyan, Gao, Chao, Chen, Jianjun, Luo, Liang and Zhang, Zili 2019, Physarum-based ant colony optimization for graph coloring problem, in ICSI 2019 : Advances in Swarm Intelligence 10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings, Springer, Cham, Switzerland, pp. 210-219, doi: 10.1007/978-3-030-26369-0_20.

Attached Files
Name Description MIMEType Size Downloads

Title Physarum-based ant colony optimization for graph coloring problem
Author(s) Lv, Lingyan
Gao, Chao
Chen, Jianjun
Luo, Liang
Zhang, ZiliORCID iD for Zhang, Zili orcid.org/0000-0002-8721-9333
Conference name Swarm Intelligence. Conference (2019 : 10th : Chiang Mai, Thailand)
Conference location Chiang Mai, Thailand
Conference dates 26-30 Jul. 2019
Title of proceedings ICSI 2019 : Advances in Swarm Intelligence 10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings
Editor(s) Tan, Ying
Shi, Yuhui
Niu, Ben
Publication date 2019
Series Lecture Notes in Computer Science; 11655
Start page 210
End page 219
Total pages 10
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) Physarum-based ant colony optimization
Graph coloring problem
Physarum mathematical model
Ant colony algorithm
ISBN 9783030263683
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-26369-0_20
Indigenous content off
Field of Research 08 Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30131042

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 14 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Thu, 31 Oct 2019, 11:29:25 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.