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» Evolutionary Computation for Modeling and Optimization
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GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
16 years 2 days ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
GECCO
2010
Springer
218views Optimization» more  GECCO 2010»
15 years 10 months ago
Cartesian genetic programming
This paper presents a new form of Genetic Programming called Cartesian Genetic Programming in which a program is represented as an indexed graph. The graph is encoded in the form o...
Julian Francis Miller, Simon L. Harding
CORR
2004
Springer
106views Education» more  CORR 2004»
15 years 6 months ago
Intelligent Systems: Architectures and Perspectives
: The integration of different learning and adaptation techniques to overcome individual limitations and to achieve synergetic effects through the hybridization or fusion of these ...
Ajith Abraham
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 4 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
DAC
2000
ACM
16 years 7 months ago
Synthesis and optimization of coordination controllers for distributed embedded systems
A main advantage of control composition with modal processes [4] is the enhanced retargetability of the composed behavior over a wide variety of target architectures. Unlike previ...
Pai H. Chou, Gaetano Borriello