231 search results - page 6 / 47 » Using Neural Nets to Estimate Evolutionary Parameters |
ESOA
2006
13 years 11 months ago
2006
The research reported in this paper is concerned with assessing the usefulness of reinforcment learning (RL) for on-line calibration of parameters in evolutionary algorithms (EA). ...
CEC
2010
IEEE
13 years 5 months ago
2010
IEEE
In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a mo...
NIPS
2007
13 years 8 months ago
2007
Neural spike trains present challenges to analytical efforts due to their noisy, spiking nature. Many studies of neuroscientific and neural prosthetic importance rely on a smooth...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconl comput...
ICPPW
2009
IEEE
14 years 2 months ago
2009
IEEE
Conventional autotuning configuration of parameters in distributed computing systems using evolutionary strategies increases integrated performance notably, though at the expense ...