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Cecilia et al., 2013 - Google Patents

Enhancing GPU parallelism in nature-inspired algorithms

Cecilia et al., 2013

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Document ID
2648965411158545703
Author
Cecilia J
Nisbet A
Amos M
García J
Ujaldón M
Publication year
Publication venue
The Journal of Supercomputing

External Links

Snippet

We present GPU implementations of two different nature-inspired optimization methods for well-known optimization problems. Ant Colony Optimization (ACO) is a two-stage population- based method modelled on the foraging behaviour of ants, while P systems provide a high …
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Classifications

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    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061—Partitioning or combining of resources
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