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» Evolving Quantum Circuits Using Genetic Algorithm
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137
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GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
15 years 6 months ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
15 years 8 months ago
Discovering biological motifs with genetic programming
Choosing the right representation for a problem is important. In this article we introduce a linear genetic programming approach for motif discovery in protein families, and we al...
Rolv Seehuus, Amund Tveit, Ole Edsberg
EVOW
2008
Springer
15 years 4 months ago
Analogue Circuit Control through Gene Expression
Abstract. Software configurable analogue arrays offer an intriguing platform for automated design by evolutionary algorithms. Like previous evolvable hardware experiments, these pl...
Kester Clegg, Susan Stepney
IJON
2000
105views more  IJON 2000»
15 years 2 months ago
G-Prop: Global optimization of multilayer perceptrons using GAs
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...
121
Voted
GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
15 years 8 months ago
Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming
We present a new method of Logic-Based Genetic Programming (LBGP). Using the intrinsic mechanism of backtracking in Prolog, we utilize large individual programs with redundant clau...
Ken Taniguchi, Takao Terano