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- W2118583169 abstract "We introduce a generic framework for the distributed execution of combinatorial optimization tasks. Instead of relying on custom hardware (like dedicated parallel machines or clusters), our approach exploits, in a peer-to-peer fashion, the computing and storage power of existing, off-the- shelf desktops and servers. Contributions of this paper are a description of the generic framework, together with a first instantiation based on particle swarm optimization (PSO). Simulation results are shown, proving the efficacy of our distributed PSO algorithm in optimizing a large number of benchmark functions." @default.
- W2118583169 created "2016-06-24" @default.
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- W2118583169 date "2008-04-01" @default.
- W2118583169 modified "2023-09-26" @default.
- W2118583169 title "Towards a decentralized architecture for optimization" @default.
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- W2118583169 doi "https://doi.org/10.1109/ipdps.2008.4536268" @default.
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