Adelaide Research & Scholarship
Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/92849
| Citations | ||
| Scopus | Web of Science® | Altmetric |
|---|---|---|
|
?
|
?
|
|
| Type: | Conference paper |
| Title: | Ant colony optimisation and the travelling salesperson problem - hardness, features and parameter settings |
| Author: | Nallaperuma, S. Wagner, M. Neumann, F. |
| Citation: | Proceedings of the 15th Annual Conference Companion on Genetic and Evolutionary Computation, GECCO'13, 2013 / Blum, C., Alba, E. (ed./s), pp.13-14 |
| Publisher: | ACM |
| Issue Date: | 2013 |
| ISBN: | 9781450319645 |
| Conference Name: | Conference Companion on Genetic and Evolutionary Computation (6 Jul 2013 : Amsterdam, Netherlands) |
| Editor: | Blum, C. Alba, E. |
| Statement of Responsibility: | Samadhi Nallaperuma, Markus Wagner, Frank Neumann |
| Abstract: | Our study on ant colony optimization (ACO) and the Travelling Salesperson Problem (TSP) attempts to understand the effect of parameters and instance features on performance using statistical analysis of the hard, easy and average problem instances for an algorithm instance. |
| Keywords: | Ant Colony Optimisation; Traveling Salesperson Problem; Features; Parameters |
| Rights: | Copyright is held by the author/owner(s) |
| DOI: | 10.1145/2464576.2464581 |
| Published version: | http://dx.doi.org/10.1145/2464576.2464581 |
| Appears in Collections: | Aurora harvest 7 Computer Science publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.