Turtles, termites, and traffic jams: explorations in massively parallel microworlds
Turtles, termites, and traffic jams: explorations in massively parallel microworlds
The ant colony optimization meta-heuristic
New ideas in optimization
Swarm intelligence
On the implementation of SwarmLinda
ACM-SE 42 Proceedings of the 42nd annual Southeast regional conference
Self-organization for search in peer-to-peer networks: the exploitation-exploration dilemma
Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
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The usage of peer-to-peer networks often follows a query-response paradigm, where users initiate searches which then have to be routed over the network efficiently. This paper proposes an approach for self-organizing information distribution in peer-to-peer networks that inverts this paradigm: data objects actively travel through the net to those nodes for which they are relevant. The underlying mechanism is rooted in the principles of Swarm Intelligence and relies on the dissemination of artificial pheromones, where each pheromone represents one particular relevance criterion that applies to a given data object. Data objects leave trails of these pheromones at each node they visit and move along gradients of pheromone concentration to regions in which they are relevant.