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Measuring Diversity of Socio-Cognitively Inspired ACO Search

Authors :
Jakub J. Łasisz
Ann Nowé
Dana Samson
Marek Kisiel-Dorohinicki
Bipin Indurkhya
Ewelina E. Świderska
Aleksander Byrski
Tom Lenaerts
Squillero, Giovanni
Burelli, Paolo
Informatics and Applied Informatics
Electronics and Informatics
Computational Modelling
Source :
Applications of Evolutionary Computation ISBN: 9783319312033, EvoApplications (1)
Publication Year :
2016
Publisher :
Springer International Publishing, 2016.

Abstract

In our recent research, we implemented an enhancement of Ant Colony Optimization incorporating the socio-cognitive dimension of perspective taking. Our initial results suggested that increasing the diversity of ant population — introducing different pheromones, different species and dedicated inter-species relations — yielded better results. In this paper, we explore the diversity issue by introducing novel diversity measurement strategies for ACO. Based on these strategies we compare both classic ACO and its socio-cognitive variation.

Details

Language :
English
ISBN :
978-3-319-31203-3
ISBNs :
9783319312033
Database :
OpenAIRE
Journal :
Applications of Evolutionary Computation ISBN: 9783319312033, EvoApplications (1)
Accession number :
edsair.doi.dedup.....bfa2a2ce3a9dc4e7abd4e6ab702b964d