Title
Information Theoretic Measures for Ant Colony Optimization
Abstract
We survey existing measures to analyze the search behavior of Ant Colony Optimization (ACO) algorithms and introduce a new uncertainty measure for characterizing three ACO variants. Unlike previous measures, the group uncertainty allows for quantifying the exploration of the search space with respect to the group assignment. We use the group uncertainty to analyze the search behavior of Group- Based Ant Colony Optimization.
Year
DOI
Venue
2014
10.1007/978-3-319-25226-1_44
ANALYSIS OF LARGE AND COMPLEX DATA
DocType
ISSN
Citations 
Conference
1431-8814
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Gunnar Völkel100.34
Markus Maucher2635.74
Christoph Müssel31209.81
Uwe Schöning4998105.69
Hans A. Kestler546844.88