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» Using the Genetic Algorithm to Find Snake-in-the-Box Codes
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BMCBI
2010
144views more  BMCBI 2010»
13 years 9 months ago
Finding sRNA generative locales from high-throughput sequencing data with NiBLS
Background: Next-generation sequencing technologies allow researchers to obtain millions of sequence reads in a single experiment. One important use of the technology is the seque...
Daniel MacLean, Vincent Moulton, David J. Studholm...
KES
2000
Springer
14 years 18 days ago
On AIE-ASM: a software to simulate artificial stock markets with genetic programming
Agent-based computational economic modeling requires demanding work on computer programming. Usually, the publications as outcomes of running these programs do not provide readers ...
Shu-Heng Chen, Chung-Chih Liao, Chia-Hsuan Yeh
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
13 years 10 months ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 27 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
IFSA
2003
Springer
179views Fuzzy Logic» more  IFSA 2003»
14 years 2 months ago
A CHC Evolutionary Algorithm for 3D Image Registration
Image registration has been a very active research area in the computer vision community. In the last few years, there is an increasing interest on the application of Evolutionary ...
Oscar Cordón, Sergio Damas, Jose Santamar&i...