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ICFP
2003
ACM
15 years 11 months ago
Optimistic evaluation: an adaptive evaluation strategy for non-strict programs
Lazy programs are beautiful, but they are slow because they build many thunks. Simple measurements show that most of these thunks are unnecessary: they are in fact always evaluate...
Robert Ennals, Simon L. Peyton Jones
ICCD
2002
IEEE
132views Hardware» more  ICCD 2002»
15 years 8 months ago
Applying Decay Strategies to Branch Predictors for Leakage Energy Savings
With technology advancing toward deep submicron, leakage energy is of increasing concern, especially for large onchip array structures such as caches and branch predictors. Recent...
Zhigang Hu, Philo Juang, Kevin Skadron, Douglas W....
SAC
2009
ACM
15 years 6 months ago
A gradient oriented recombination scheme for evolution strategies
This paper proposes a novel recombination scheme for evolutionary algorithms, which can guide the new population generation towards the maximum increase of the objective function....
Haifeng Chen, Guofei Jiang
CEC
2009
IEEE
15 years 6 months ago
Particle Swarm CMA Evolution Strategy for the optimization of multi-funnel landscapes
— We extend the Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) by collaborative concepts from Particle Swarm Optimization (PSO). The proposed Particle Swarm CMA-ES...
Christian L. Müller, Benedikt Baumgartner, Iv...
GECCO
2009
Springer
194views Optimization» more  GECCO 2009»
15 years 6 months ago
Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers
The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...
Xuefeng Chen, Xiabi Liu, Yunde Jia