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» Finding Gapped Motifs by a Novel Evolutionary Algorithm
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JACM
2006
99views more  JACM 2006»
14 years 11 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
AE
2005
Springer
15 years 5 months ago
Incorporating Knowledge of Secondary Structures in a L-System-Based Encoding for Protein Folding
An encoding scheme for protein folding on lattice models, inspired by parametric L-systems, was proposed. The encoding incorporates problem domain knowledge in the form of predesig...
Gabriela Ochoa, Gabi Escuela, Natalio Krasnogor
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 5 months ago
The molecule evoluator: an interactive evolutionary algorithm for designing drug molecules
To help chemists design new drugs, we created a tool that uses interactive evolution to design drug molecules, the “Molecule Evoluator”. In contrast to most other evolutionary...
Eric-Wubbo Lameijer, Adriaan P. IJzerman, Joost N....
TEC
2008
146views more  TEC 2008»
14 years 11 months ago
An Evolutionary Algorithm Approach to Optimal Ensemble Classifiers for DNA Microarray Data Analysis
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
Kyung-Joong Kim, Sung-Bae Cho
GECCO
2007
Springer
269views Optimization» more  GECCO 2007»
15 years 5 months ago
Automated red teaming: a proposed framework for military application
In this paper, we describe Automated Red Teaming (ART), a concept that uses Evolutionary Algorithm (EA), Parallel Computing and Simulation to complement the manual Red Teaming eff...
Chwee Seng Choo, Ching Lian Chua, Su-Han Victor Ta...