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Published in:
2002 | OriginalPaper | Chapter
Updating ACO Pheromones Using Stochastic Gradient Ascent and Cross-Entropy Methods
Authors : Marco Dorigo, Mark Zlochin, Nicolas Meuleau, Mauro Birattari
Published in: Applications of Evolutionary Computing
Publisher: Springer Berlin Heidelberg
Included in: Professional Book Archive
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In this paper we introduce two systematic approaches, based on the stochastic gradient ascent algorithm and the cross-entropy method, for deriving the pheromone update rules in the Ant colony optimization metaheuristic. We discuss the relationships between the two methods as well as connections to the update rules previously proposed in the literature.