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TOOLS
2000
IEEE
14 years 1 months ago
Testing-for-Trust: The Genetic Selection Model Applied to Component Qualification
This paper presents a method and a tool for building trustable OO components. The methodology is based on an integrated design and test approach for OO software components. It is ...
Benoit Baudry, Vu Le Hanh, Yves Le Traon
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
14 years 3 months ago
An analysis of constructive crossover and selection pressure in genetic programming
A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
Huayang Xie, Mengjie Zhang, Peter Andreae
PLDI
2004
ACM
14 years 2 months ago
Fast searches for effective optimization phase sequences
It has long been known that a fixed ordering of optimization phases will not produce the best code for every application. One approach for addressing this phase ordering problem ...
Prasad Kulkarni, Stephen Hines, Jason Hiser, David...
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
14 years 3 months ago
Learning building block structure from crossover failure
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
Zhenhua Li, Erik D. Goodman
ICCV
2005
IEEE
14 years 2 months ago
KALMANSAC: Robust Filtering by Consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...