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GPEM
2000
121views more  GPEM 2000»
14 years 9 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
WABI
2009
Springer
162views Bioinformatics» more  WABI 2009»
15 years 4 months ago
Aligning Biomolecular Networks Using Modular Graph Kernels
Comparative analysis of biomolecular networks constructed using measurements from different conditions, tissues, and organisms offer a powerful approach to understanding the stru...
Fadi Towfic, M. Heather West Greenlee, Vasant Hona...
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
15 years 3 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
INFSOF
2006
73views more  INFSOF 2006»
14 years 9 months ago
Theory and algorithms for slicing unstructured programs
Program slicing identifies parts of a program that potentially affect a chosen computation. It has many applications in software engineering, including maintenance, evolution and ...
Mark Harman, Arun Lakhotia, David Binkley
GECCO
2010
Springer
176views Optimization» more  GECCO 2010»
14 years 11 months ago
A hierarchical cooperative evolutionary algorithm
To successfully search multiple coadaptive subcomponents in a solution, we developed a novel cooperative evolutionary algorithm based on a new computational multilevel selection f...
Shelly Xiaonan Wu, Wolfgang Banzhaf