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GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
13 years 9 months ago
Evolving Consensus Sequence for Multiple Sequence Alignment with a Genetic Algorithm
In this paper we present an approach that evolves the consensus sequence [25] for multiple sequence alignment (MSA) with genetic algorithm (GA). We have developed an encoding schem...
Conrad Shyu, James A. Foster
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 8 months ago
Identification of weak motifs in multiple biological sequences using genetic algorithm
Recognition of motifs in multiple unaligned sequences provides an insight into protein structure and function. The task of discovering these motifs is very challenging because mos...
Topon Kumar Paul, Hitoshi Iba
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
13 years 9 months ago
Genetic algorithms using low-discrepancy sequences
The random number generator is one of the important components of evolutionary algorithms (EAs). Therefore, when we try to solve function optimization problems using EAs, we must ...
Shuhei Kimura, Koki Matsumura
ACRI
2008
Springer
13 years 10 months ago
Automatic Design of FPGA Processor for the Backtracking of DNA Sequences Evolution Using Cellular Automata and Genetic Algorithm
In several cases, the DNA sequences of an organism are available in different stages of its evolution and it is desirable to reconstruct the DNA sequence in a previous evolution st...
Georgios Ch. Sirakoulis
BIOSYSTEMS
2008
129views more  BIOSYSTEMS 2008»
13 years 4 months ago
Reconstruction of DNA sequences using genetic algorithms and cellular automata: Towards mutation prediction?
Change of DNA sequence that fuels evolution is, to a certain extent, a deterministic process because mutagenesis does not occur in an absolutely random manner. So far, it has not ...
Ch. Mizas, Georgios Ch. Sirakoulis, Vasilios A. Ma...