Comparison of ant colony optimization algorithms for small-sized travelling salesman problems
Loading...
Author (Corporation)
Publication date
2022
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editor (Corporation)
Supervisor
Parent work
Innovations in Bio-Inspired Computing and Applications. Proceedings of the 12th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2021) Held During December 16–18, 2021
Special issue
DOI of the original publication
Series
Lecture Notes in Networks and Systems
Series number
419
Volume
Issue / Number
Pages / Duration
15–23
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
Cham
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
Keywords
Subject (DDC)
Event
12th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2021)
Exhibition start date
Exhibition end date
Conference start date
16.12.2021
Conference end date
18.12.2021
Date of the last check
ISBN
978-3-030-96298-2
978-3-030-96299-9
978-3-030-96299-9
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
License
Citation
Subaskaran, A., Krähemann, M., Hanne, T., & Dornberger, R. (2022). Comparison of ant colony optimization algorithms for small-sized travelling salesman problems. In A. Abraham, A. M. Madureira, A. Kaklauskas, N. Gandhi, A. Bajaj, A. K. Muda, D. Kriksciuniene, & J. C. Ferreira (Eds.), Innovations in Bio-Inspired Computing and Applications. Proceedings of the 12th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2021) Held During December 16–18, 2021 (pp. 15–23). Springer. https://doi.org/10.1007/978-3-030-96299-9_2