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By Moulay Aziz-Alaoui, Cyrille Bertelle

An immense a part of the technology of complexity is the research of emergent houses bobbing up via dynamical procedures, in a number of traditional and synthetic structures. This booklet provides multidisciplinary ways for developing and modeling representations of complicated structures, and numerous tools for extracting emergent constructions. delivering bio-complexity examples, the insurance extends to self association, synchronization, balance and robustness. The participants contain researchers in physics, engineering, biology and chemistry.

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6. A random graph with “communication structures” following a spanning tree, and 4 colors (300 vertices, 602 edges). p j=1   card(Vj (t))  p  card(Vi (t)) i=1,i=j n(n − 1) The second graph whose r1 and r2 evolution is shown on Figure 8 is almost the same, but we introduced, as for random graphs, a communication structure under the form of weights following a spanning tree in the graph. The graph therefore contains high weights and low weights with a large interval between the two. The r1 criterion is better than for the first graph.

Parallel Computing, Elsevier, 30:785–801 P. Kuntz, P. Layzell, and D. Snyers (1997) A colony of ant-like agents for partitioning in vlsi technology. In Fourth European Conference on Artificial Life, pages 417–424, Cambridge, MA:MIT Press 52 Alain Cardon, Antoine Dutot, Fr´ed´eric Guinand, and Damien Olivier 29. A. E. W. Grant (1999) Using competing ant colonies to solve kway partitioning problems with foraging and raiding strategies. In D. , editor, Advances in Artificial Life, volume 1674, pages 621–625.

However, both objectives are contradictory and good performances may be achieved if and only if a good trade off is found. Our method for finding such a trade off leans on a bio-inspired method. We use competitive colonies of numerical ants, each one depositing colored pheromones, to find organizations of highly communicating entities. Key words: complex systems, self-organization, artificial ants, dynamic graph, community structures, dynamic load balancing 1 Introduction We present a new heuristic for the dynamic load balancing problem, when both the application and the computing environment change during the execution.

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