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Finding large (and generally maximal) independent sets of vertices in a given graph is a fundamental problem in distributed computing. Applications include, for example, facility location and backbone formation in wireless ad hoc networks. In this paper, we study a decentralized (or distributed) algorithm inspired by the calling behavior of male Japanese tree frogs, originally introduced for the graph-coloring...
Graph coloring, which is at the heart of several problems arising in wireless ad hoc networks, concerns the problem of assigning colors to the nodes of a graph such that adjacent nodes do not share the same color. This paper deals with the problem of generating valid colorings in a distributed way, while minimizing the number of colors used. Examples of related problems in wireless ad hoc networks...
The aim of this paper is to introduce a new algorithm, FlockOpt, for real-parameter optimization. The proposed algorithm is inspired by a recent model of the flocking behaviour of starling birds and combines the main elements of this model with additional features from Swarm Intelligence. The results of from FlockOpt are compared to the results of generic versions of Particle Swarm Optimization, which...
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