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» On the Brittleness of Evolutionary Algorithms
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GECCO
2005
Springer
189views Optimization» more  GECCO 2005»
15 years 11 months ago
Molecular programming: evolving genetic programs in a test tube
We present a molecular computing algorithm for evolving DNA-encoded genetic programs in a test tube. The use of synthetic DNA molecules combined with biochemical techniques for va...
Byoung-Tak Zhang, Ha-Young Jang
AGI
2008
15 years 7 months ago
An Integrative Methodology for Teaching Embodied Non-Linguistic Agents, Applied to Virtual Animals in Second Life
A teaching methodology called Imitative-Reinforcement-Corrective (IRC) learning is described, and proposed as a general approach for teaching embodied non-linguistic AGI systems. I...
Ben Goertzel, Cassio Pennachin, Nil Geisweiller, M...
BMCBI
2007
142views more  BMCBI 2007»
15 years 6 months ago
SABERTOOTH: protein structural alignment based on a vectorial structure representation
Background: The task of computing highly accurate structural alignments of proteins in very short computation time is still challenging. This is partly due to the complexity of pr...
Florian Teichert, Ugo Bastolla, Markus Porto
3DIM
2011
IEEE
14 years 6 months ago
A Non-cooperative Game for 3D Object Recognition in Cluttered Scenes
Abstract—During the last few years a wide range of algorithms and devices have been made available to easily acquire range images. To this extent, the increasing abundance of dep...
Andrea Albarelli, Emanuele Rodolà, Filippo ...
CEC
2009
IEEE
16 years 28 days ago
Differential Evolution with Laplace mutation operator
— Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ra...
Millie Pant, Radha Thangaraj, Ajith Abraham, Crina...