Self-Regulated Artificial Ant Colonies on Digital Image Habitats

• DOI: 10.48550/arxiv.cs/0512004
• Publication Date: 2005-01-01
• Authors: Carlos M. Fernandes; Vitorino Ramos; Agostinho Rosa
• Keywords: Ant colony; Swarm intelligence; Adaptability; Artificial life

Artificial life models, swarm intelligent and evolutionary computation algorithms are usually built on fixed size populations. Some studies indicate however that varying the population can increase adaptability of these systems their capability to react changing environments. In this paper we present an extended model artificial ant colony system designed evolve digital image habitats. We will show adapt according type which it is evolving reacting faster images, thus converging more rapidly new desired regions, regulating number his foraging agents. Finally, evidences be associated with Mathematical Morphology Watershed algorithm improve segmentation grey-scale images. KEYWORDS: Swarm Intelligence, Perception Image Processing, Pattern Recognition, Morphology, Social Cognitive Maps, Foraging, Self-Organization, Distributed Search.