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» Genetic algorithms using low-discrepancy sequences
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ICRA
2000
IEEE
92views Robotics» more  ICRA 2000»
15 years 7 months ago
Action Module Planning and its Application to an Experimental Climbing Robot
This paper presents the application of an action module planning method to an experimental climbing robot named LIBRA. The method searches for a sequence of physically realizable ...
David M. Bevly, Shane Farritor, Steven Dubowsky
121
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TCBB
2008
107views more  TCBB 2008»
15 years 3 months ago
Progressive Tree Neighborhood Applied to the Maximum Parsimony Problem
Abstract-- The Maximum Parsimony problem aims at reconstructing a phylogenetic tree from DNA sequences while minimizing the number of genetic transformations. To solve this NP-comp...
Adrien Goëffon, Jean-Michel Richer, Jin-Kao H...
193
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APBC
2004
173views Bioinformatics» more  APBC 2004»
15 years 4 months ago
RNA Secondary Structure Prediction with Simple Pseudoknots
Pseudoknots are widely occurring structural motifs in RNA. Pseudoknots have been shown to be functionally important in different RNAs which play regulatory, catalytic, or structur...
Jitender S. Deogun, Ruben Donts, Olga Komina, Fang...
CEC
2005
IEEE
15 years 9 months ago
Evolving hidden Markov models for protein secondary structure prediction
New results are presented for the prediction of secondary structure information for protein sequences using Hidden Markov Models (HMMs) evolved using a Genetic Algorithm (GA). We a...
Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel...
153
Voted
PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
15 years 9 months ago
Density-Sensitive Evolutionary Clustering
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo