3467 search results - page 88 / 694 » Function Optimization with Coevolutionary Algorithms |
128
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ICML
1996
IEEE
16 years 2 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
105
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CORR
2011
Springer
14 years 8 months ago
2011
Springer
Let f be a univariate polynomial with real coefficients, f ∈ R[X]. Subdivision algorithms based on algebraic techniques (e.g., Sturm or Descartes methods) are widely used for is...
143
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DMIN
2006
15 years 2 months ago
2006
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
110
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ICNP
2007
IEEE
15 years 7 months ago
2007
IEEE
— Rate adaptation is one of the basic functionalities in today’s 802.11 wireless LANs (WLANs). Although it is primarily designed to cope with the variability of wireless channe...
110
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CGO
2005
IEEE
15 years 6 months ago
2005
IEEE
The growing complexity of modern processors has made the generation of highly efficient code increasingly difficult. Manual code generation is very time consuming, but it is oft...