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» Improving EAs for Sequencing Problems
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FLAIRS
2001
13 years 9 months ago
Improving Knowledge-Based System Performance by Reordering Rule Sequences
In this paper, we argue that KBS validation should not be limited to testing functional properties of the system, such as its input - output behavior, but must also address its dy...
Neli Zlatareva
EC
2000
187views ECommerce» more  EC 2000»
13 years 7 months ago
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele
BMCBI
2008
114views more  BMCBI 2008»
13 years 8 months ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
COCOA
2007
Springer
14 years 2 months ago
A Lagrangian Relaxation Approach for the Multiple Sequence Alignment Problem
Abstract. We present a branch-and-bound (bb) algorithm for the multiple sequence alignment problem (MSA), one of the most important problems in computational biology. The upper bou...
Ernst Althaus, Stefan Canzar
WABI
2007
Springer
133views Bioinformatics» more  WABI 2007»
14 years 2 months ago
RNA Folding Including Pseudoknots: A New Parameterized Algorithm and Improved Upper Bound
Predicting the secondary structure of an RNA sequence is an important problem in structural bioinformatics. The general RNA folding problem, where the sequence to be folded may con...
Chunmei Liu, Yinglei Song, Louis W. Shapiro