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GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
15 years 10 months ago
Statistical analysis of heuristics for evolving sorting networks
Designing efficient sorting networks has been a challenging combinatorial optimization problem since the early 1960’s. The application of evolutionary computing to this problem ...
Lee K. Graham, Hassan Masum, Franz Oppacher
ESA
2007
Springer
125views Algorithms» more  ESA 2007»
15 years 10 months ago
Pricing Tree Access Networks with Connected Backbones
Consider the following network subscription pricing problem. We are given a graph G = (V, E) with a root r, and potential customers are companies headquartered at r with locations...
Vineet Goyal, Anupam Gupta, Stefano Leonardi, R. R...
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
15 years 5 months ago
Unsupervised learning of echo state networks: balancing the double pole
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
Fei Jiang, Hugues Berry, Marc Schoenauer
ASPDAC
2009
ACM
161views Hardware» more  ASPDAC 2009»
15 years 11 months ago
Risk aversion min-period retiming under process variations
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
Jia Wang, Hai Zhou
AAAI
1998
15 years 5 months ago
Solving Very Large Weakly Coupled Markov Decision Processes
We present a technique for computing approximately optimal solutions to stochastic resource allocation problems modeled as Markov decision processes (MDPs). We exploit two key pro...
Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, L...