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ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 8 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
ISITA
2010
13 years 6 months ago
Information reconciliation for QKD with rate-compatible non-binary LDPC codes
We study information reconciliation (IR) scheme for the quantum key distribution (QKD) protocols. The IR for the QKD can be considered as the asymmetric Slepian-Wolf problem, which...
Kenta Kasai, Ryutaroh Matsumoto, Kohichi Sakaniwa
LION
2009
Springer
115views Optimization» more  LION 2009»
14 years 2 months ago
Flexible Stochastic Local Search for Haplotype Inference
Abstract. Haplotype Inference is a challenging problem in bioinformatics that consists in inferring the basic genetic constitution of diploid organisms on the basis of their genoty...
Luca Di Gaspero, Andrea Roli
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 2 months ago
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...
EH
2005
IEEE
119views Hardware» more  EH 2005»
14 years 1 months ago
Evolutionary Computation Technologies for the Automated Design of Space Systems
The Evolvable Computation Group, at NASA’s Jet Propulsion Laboratory, is tasked with demonstrating the utility of computational engineering and computer optimized design for com...
Richard Terrile, Hrand Aghazarian, Michael I. Ferg...