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» Fitness Inheritance in the Bayesian Optimization Algorithm
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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 1 months ago
Fitness inheritance for noisy evolutionary multi-objective optimization
This paper compares the performance of anti-noise methods, particularly probabilistic and re-sampling methods, using NSGA2. It then proposes a computationally less expensive appro...
Lam Thu Bui, Hussein A. Abbass, Daryl Essam
CEC
2007
IEEE
13 years 9 months ago
Fitness inheritance in evolutionary and multi-objective high-level synthesis
Abstract—The high-level synthesis process allows the automatic design and implementation of digital circuits starting from a behavioral description. Evolutionary algorithms are v...
Christian Pilato, Gianluca Palermo, Antonino Tumeo...
ICCV
1999
IEEE
14 years 8 months ago
Curve Finder Combining Perceptual Grouping and a Kalman Like Fitting
We present an algorithm that extracts curves from a set of edgels within a specific class in a decreasing order of their ``length''. The algorithm inherits the perceptual...
Frederic Guichard, Jean-Philippe Tarel
GPEM
2000
121views more  GPEM 2000»
13 years 7 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang