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» Morphing methods in evolutionary design optimization
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ATAL
2005
Springer
14 years 4 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
RECOMB
2012
Springer
12 years 1 months ago
Recovering the Tree-Like Trend of Evolution Despite Extensive Lateral Genetic Transfer: A Probabilistic Analysis
Abstract. Lateral gene transfer (LGT) is a common mechanism of nonvertical evolution where genetic material is transferred between two more or less distantly related organisms. It ...
Sebastien Roch, Sagi Snir
IEEECIT
2009
IEEE
14 years 5 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
14 years 5 months ago
A stopping criterion based on Kalman estimation techniques with several progress indicators
The need for a stopping criterion in MOEA’s is a repeatedly mentioned matter in the domain of MOOP’s, even though it is usually left aside as secondary, while stopping criteri...
José Luis Guerrero, Jesús Garc&iacut...
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
14 years 5 months ago
A parallel framework for loopy belief propagation
There are many innovative proposals introduced in the literature under the evolutionary computation field, from which estimation of distribution algorithms (EDAs) is one of them....
Alexander Mendiburu, Roberto Santana, Jose Antonio...