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ICES
2005
Springer
176views Hardware» more  ICES 2005»
13 years 10 months ago
Consensus-Based Evaluation for Fault Isolation and On-line Evolutionary Regeneration
While the fault repair capability of Evolvable Hardware (EH) approaches have been previously demonstrated, further improvements to fault handling capability can be achieved by exp...
Kening Zhang, Ronald F. DeMara, Carthik A. Sharma
ITSSA
2006
97views more  ITSSA 2006»
13 years 5 months ago
Service Evolution in Bio-Inspired Communication Systems
: An autonomic network must work unsupervised, therefore must be able to respond to unpredictable situations. The BIONETS project is working towards resilient network services that...
Daniele Miorandi, Lidia Yamamoto, Paolo Dini
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 5 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
ASC
2011
13 years 9 days ago
Autonomic fault-handling and refurbishment using throughput-driven assessment
A new paradigm for online EH regeneration using Genetic Algorithms (GAs) called Competitive Runtime Reconfiguration (CRR) is developed where performance is assessed based upon a b...
Ronald F. DeMara, Kening Zhang, Carthik A. Sharma
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 5 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná