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» Crossover can provably be useful in evolutionary computation
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JMLR
2012
13 years 4 days ago
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
Alexander Grubb, Drew Bagnell
VISUALIZATION
2005
IEEE
15 years 3 months ago
Evolutionary Morphing
We introduce a technique to visualize the gradual evolutionary change of the shapes of living things as a morph between known three-dimensional shapes. Given geometric computer mo...
David F. Wiley, Nina Amenta, Dan A. Alcantara, Deb...
APCHI
2004
IEEE
15 years 1 months ago
Evolutionary Approaches to Visualisation and Knowledge Discovery
Haiku is a data mining system which combines the best properties of human and machine discovery. An self organising visualisation system is coupled with a genetic algorithm to prov...
Russell Beale, Andy Pryke, Robert J. Hendley
GECCO
2003
Springer
15 years 2 months ago
Hybrid Networks of Evolutionary Processors
Abstract. A hybrid network of evolutionary processors consists of several processors which are placed in nodes of a virtual graph and can perform one simple operation only on the w...
Carlos Martín-Vide, Victor Mitrana, Mario J...
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
15 years 3 months ago
Reducing the Cost of the Hybrid Evolutionary Algorithm with Image Local Response in Electronic Imaging
Abstract. The paper focuses on the efficiency of the hybrid evolutionary algorithm (HEA) for solving the global optimization problem arising in electronic imaging. The particular v...
Igor V. Maslov