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» Evolving heuristics with genetic programming
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CEC
2010
IEEE
13 years 6 months ago
Evolved Bayesian Network models of rig operations in the gulf of Mexico
The operation of drilling rigs is highly expensive. It is therefore important to be able to identify and analyse variables affecting rig operations. We investigate the use of Genet...
François A. Fournier, John A. W. McCall, An...
EVOW
2005
Springer
14 years 3 months ago
Evolving Reversible Circuits for the Even-Parity Problem
Reversible computing basically means computation with less or not at all electrical power. Since the standard binary gates are not usually reversible we use the Fredkin gate in ord...
Mihai Oltean
GECCO
2003
Springer
121views Optimization» more  GECCO 2003»
14 years 3 months ago
Evolving Hogg's Quantum Algorithm Using Linear-Tree GP
Intermediate measurements in quantum circuits compare to conditional branchings in programming languages. Due to this, quantum circuits have a natural linear-tree structure. In thi...
André Leier, Wolfgang Banzhaf
PRL
2006
139views more  PRL 2006»
13 years 10 months ago
Evolving color constancy
Objects retain their color in spite of changes in the wavelength and energy composition of the light they reflect. This phenomenon is called color constancy and plays an important ...
Marc Ebner
ICCS
2004
Springer
14 years 3 months ago
Designing Digital Circuits for the Knapsack Problem
Abstract. Multi Expression Programming (MEP) is a Genetic Programming variant that uses linear chromosomes for solution encoding. A unique feature of MEP is its ability of encoding...
Mihai Oltean, Crina Grosan, Mihaela Oltean