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» Measuring the Dynamics of Artificial Evolution
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ECAL
1999
Springer
13 years 12 months ago
Evolution of Neural Controllers with Adaptive Synapses and Compact Genetic Encoding
Abstract. This paper is concerned with arti cial evolution of neurocontrollers with adaptive synapses for autonomous mobile robots. The method consists of encoding on the genotype ...
Dario Floreano, Joseba Urzelai
BMCBI
2011
13 years 2 months ago
PhyloSim - Monte Carlo simulation of sequence evolution in the R statistical computing environment
Background: The Monte Carlo simulation of sequence evolution is routinely used to assess the performance of phylogenetic inference methods and sequence alignment algorithms. Progr...
Botond Sipos, Tim Massingham, Gregory E. Jordan, N...
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
14 years 1 months ago
Dynamical blueprints: exploiting levels of system-environment interaction
Developmental systems typically produce a phenotype through a generative process whose outcome depends on feedback from the environment. In most artificial developmental systems, ...
Nicolás S. Estévez, Hod Lipson
ATAL
2006
Springer
13 years 11 months ago
Efficient agent-based models for non-genomic evolution
Modeling dynamical systems composed of aggregations of primitive proteins is critical to the field of astrobiological science, which studies early evolutionary structures dealing ...
Nachi Gupta, Adrian K. Agogino, Kagan Tumer
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 5 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel