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Evolutionary Algorithms in Unreliable Memory. Guaranteeing the underlying reliability of computer memory is becoming more difficult as chip dimensions scale down, and as power limitations make lower voltages desirable.
We simulated the effect of unreliable memory on the behaviour of a slightly re-programmed variant of a typical genetic algorithm (GA) on a range of optimisation ...
PDF | Guaranteeing the underlying reliability of computer memory is becoming more difficult as chip dimensions scale down, and as power limitations make.
Abstract— Guaranteeing the underlying reliability of computer memory is becoming more difficult as chip dimensions scale down, and as power limitations make ...
This work simulated the effect of unreliable memory on the behaviour of a slightly re-programmed variant of a typical Genetic Algorithm on a range of ...
Apr 24, 2020 · Evolutionary algorithms are definitely closer to brute force than differentiable methods. They have no way of knowing in which "direction" the ...
Missing: Unreliable | Show results with:Unreliable
Oct 26, 2019 · Evolutionary algorithms are trash for ML problems compared to gradient-based optimizers, which makes sense since the gradient literally ...
Missing: Unreliable | Show results with:Unreliable
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Jul 11, 2014 · The primary reason that genetic algorithms require more memory is that they need to maintain an entire population of solutions.
Missing: Unreliable | Show results with:Unreliable
In this article, we review the state-of-the-art results in evolutionary computation and observe that we do not evolve nontrivial software ...
Bibliographic details on Evolutionary Algorithms in Unreliable Memory.