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» Potential fitness for genetic programming
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BMCBI
2005
126views more  BMCBI 2005»
13 years 7 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois
DAC
2004
ACM
14 years 8 months ago
Automated energy/performance macromodeling of embedded software
Efficient energy and performance estimation of embedded software is a critical part of any system-level design flow. Macromodeling based estimation is an attempt to speed up estim...
Anish Muttreja, Anand Raghunathan, Srivaths Ravi, ...
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
13 years 11 months ago
Crossover: the divine afflatus in search
The traditional GA theory is pillared on the Building Block Hypothesis (BBH) which states that Genetic Algorithms (GAs) work by discovering, emphasizing and recombining low order ...
David Iclanzan
BMCBI
2002
109views more  BMCBI 2002»
13 years 7 months ago
Kangaroo - A pattern-matching program for biological sequences
Background: Biologists are often interested in performing a simple database search to identify proteins or genes that contain a well-defined sequence pattern. Many databases do no...
Doron Betel, Christopher W. V. Hogue
GECCO
2004
Springer
14 years 1 months ago
Hybridizing Evolutionary Testing with the Chaining Approach
Fitness functions derived for certain white-box test goals can cause problems for Evolutionary Testing (ET), due to a lack of sufficient guidance to the required test data. Often t...
Phil McMinn, Mike Holcombe