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» Evolving Quasigroups by Genetic Algorithms
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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 2 months ago
A genetic algorithm for optimized reconstruction of quantized one-dimensional signals
This paper describes a genetic algorithm (GA) that evolves optimized sets of coefficients for one-dimensional signal reconstruction under lossy conditions due to quantization. Beg...
Frank W. Moore
CORR
2011
Springer
217views Education» more  CORR 2011»
13 years 4 months ago
Boolean Networks Design by Genetic Algorithms
Abstract. We present and discuss the results of an experimental analysis in the design of Boolean networks by means of genetic algorithms. A population of networks is evolved with ...
Andrea Roli, Cristian Arcaroli, Marco Lazzarini, S...
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 29 days ago
Evolving kernels for support vector machine classification
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
Keith Sullivan, Sean Luke
PPSN
2004
Springer
14 years 2 months ago
Evolving Genetic Regulatory Networks for Hardware Fault Tolerance
We present a new approach that is able to produce an increased fault tolerance in bio-inspired electronic circuits. To this end, we designed hardwarefriendly genetic regulatory net...
Arne Koopman, Daniel Roggen
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
14 years 2 months ago
Evolution of a human-competitive quantum fourier transform algorithm using genetic programming
In this paper, we show how genetic programming (GP) can be used to evolve system-size-independent quantum algorithms, and present a human-competitive Quantum Fourier Transform (QF...
Paul Massey, John A. Clark, Susan Stepney