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» A Genetic Algorithm Applied to the Maximum Flow Problem
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GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
15 years 8 months ago
Evolving petri nets to represent metabolic pathways
Given concentrations of metabolites over a sequence of time steps, the metabolic pathway prediction problem seeks a set of reactions and rate constants for them that could yield t...
Jeremiah Nummela, Bryant A. Julstrom
DAGM
2004
Springer
15 years 8 months ago
A Probabilistic Framework for Robust and Accurate Matching of Point Clouds
We present a probabilistic framework for matching of point clouds. Variants of the ICP algorithm typically pair points to points or points to lines. Instead, we pair data points to...
Peter Biber, Sven Fleck, Wolfgang Straßer
IJCAI
2007
15 years 4 months ago
Training Conditional Random Fields Using Virtual Evidence Boosting
While conditional random fields (CRFs) have been applied successfully in a variety of domains, their training remains a challenging task. In this paper, we introduce a novel trai...
Lin Liao, Tanzeem Choudhury, Dieter Fox, Henry A. ...
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
15 years 6 months ago
Evolutionary design of fault-tolerant analog control for a piezoelectric pipe-crawling robot
In this paper, a genetic algorithm (GA) is used to design faulttolerant analog controllers for a piezoelectric micro-robot. Firstorder and second-order functions are developed to ...
Geoffrey A. Hollinger, David A. Gwaltney
EC
2008
146views ECommerce» more  EC 2008»
15 years 3 months ago
Automated Discovery of Local Search Heuristics for Satisfiability Testing
The development of successful metaheuristic algorithms such as local search for a difficult problems such as satisfiability testing (SAT) is a challenging task. We investigate an ...
Alex S. Fukunaga