A New Ant Colony Algorithm Using the Heterarchical Concept Aimed at Optimization of Multiminima Continuous Functions

Authors:
Johann Dréo;Patrick Siarry
Affiliations:
-;-
Venue:
ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
Year:
2002

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Abstract

Ant colony algorithms are a class of metaheuristics which are inspired from the behaviour of real ants. The original idea consisted in simulating the trail communication, therefore these algorithms are considered as a form of adaptive memory programming. A new formalization is proposed for the design of ant colony algorithms, introducing the biological notions of heterarchy and communication channels.