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    Inicio > Historias > New paper on distributed evolutionary computation uploaded to ArXiV

    New paper on distributed evolutionary computation uploaded to ArXiV

    I uploaded a couple of days our paper Self-adaptive Gossip Policies for Distributed Population-based Algorithms, which is a collaboration among a bunch of researchers from 4 different institutions trying to come up with the perfect algorithms that is able to extract all the juice from heterogeneous, peer to peer, dynamic, networks. Here's the abstract:
    Gossipping has demonstrate to be an efficient mechanism for spreading information among P2P networks. Within the context of P2P computing, we propose the so-called Evolvable Agent Model for distributed population-based algorithms which uses gossipping as communication policy, and represents every individual as a self-scheduled single thread. The model avoids obsolete nodes in the population by defining a self-adaptive refresh rate which depends on the latency and bandwidth of the network. Such a mechanism balances the migration rate to the congestion of the links pursuing global population coherence. We perform an experimental evaluation of this model on a real parallel system and observe how solution quality and algorithm speed scale with the number of processors with this seamless approach.

    2007-03-27 12:13 | 0 Comment(s) | Filed in

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