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» Primer design using genetic algorithm
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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 4 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
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GECCO
2007
Springer
165views Optimization» more  GECCO 2007»
15 years 4 months ago
Peptide detectability following ESI mass spectrometry: prediction using genetic programming
The accurate quantification of proteins is important in several areas of cell biology, biotechnology and medicine. Both relative and absolute quantification of proteins is often d...
David C. Wedge, Simon J. Gaskell, Simon J. Hubbard...
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 3 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
15 years 4 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller
TEC
2002
119views more  TEC 2002»
14 years 9 months ago
Graph-based evolutionary design of arithmetic circuits
Abstract--In this paper, we present an efficient graph-based evolutionary optimization technique called evolutionary graph generation (EGG) and the proposed approach is applied to ...
Dingjun Chen, Takafumi Aoki, Naofumi Homma, Toshik...