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Titlebook: Swarm Intelligence Based Optimization; Second International Patrick Siarry,Lhassane Idoumghar,Julien Lepagnot Conference proceedings 2016 S

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On the Community Identification in Weighted Time-Varying Networksak over time, in order to merge it with the “dominant” neighbour community. In order to assess the quality of the returned community structure, we conduct a comparison with a genetic algorithm on real-world data of the ANR-Info-RSN project. The conducted comparison shows that . provides a good trade-off between efficiency and consumed time.
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Distributed Local Search for Elastic Image Matchingh metaheuristics. Applications of different operators for solution diversification are possible in a similar way to .. We formulate a general energy function to be equivalent to elastic image matching problems. A specific example application is .. Experimental results show that the GPU implementatio
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On the Community Identification in Weighted Time-Varying Networkse or the weights between the linked entities change over time. In this paper, we propose an algorithm for the community identification in weighted and dynamic graphs, called .. The latter takes advantage from the previously detected communities. Several changes’ scenarios are considered like, node/e
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