Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/92849
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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 / pp.13-14
Publisher: ACM
Issue Date: 2013
ISBN: 9781450319645
Conference Name: Conference Companion on Genetic and Evolutionary Computation (06 Jul 2013 - 10 Jul 2013 : Amsterdam, Netherlands)
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)
RMID: 0020137411
DOI: 10.1145/2464576.2464581
Published version: http://dl.acm.org/citation.cfm?id=2464576
Appears in Collections:Computer Science publications

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