We study different genetic algorithm operators for one permutation problem associated with the Human Genome Project—the assembly of DNA sequence fragments from a parent clone whose sequence is unknown into a consensus sequence corresponding to the parent sequence. The sorted-order representation, which does not require specialized operators, is compared with a more traditional permutation representation, which does require specialized operators. The two representations and their associated operators are compared on problems ranging from 2K to 34K base pairs (KB). Edge-recombination crossover used in conjunction with several specialized operators is found to perform best in these experiments; these operators solved a 10KB sequence, consistin...
This paper deals with some new operators of genetic algorithms and demonstrates their effectiveness ...
Experimental design and response surface methodology is applied to tuning the parameters of an optim...
Finding gene locations for specific functions is an important topic in bioinformatics research that ...
We study different genetic algorithm operators for one permutation problem associated with the Human...
. We study different genetic algorithm operators for one permutationproblem associated with the Huma...
Applying genetic algorithms to DNA sequence assembly is not a straightforward process. Significantly...
Applying genetic algorithms to DNA sequence assem-bly is not a straightforward process. Significantl...
As more research centers embark on sequencing new genomes, the problem of DNA fragment assembly for ...
Evolutionary search algorithms are becoming an essential advantage in the algorithmic toolbox for so...
DNA Fragment assembly – an NP-Hard problem – is one of the major steps in of DNA sequencing. Multipl...
The paper results from development of new sequencing methods together with the need of suitable geno...
International audienceMotivation: With the recent advances in DNA sequencing technologies, the study...
Experimental design and response surface methodology is applied to tuning the parameters of an optim...
Genetic algorithm (GA) is a well known algorithm applied to a wide variety of optimization problems ...
Ordered gene problems are a very common classification of optimization problems. Because of their p...
This paper deals with some new operators of genetic algorithms and demonstrates their effectiveness ...
Experimental design and response surface methodology is applied to tuning the parameters of an optim...
Finding gene locations for specific functions is an important topic in bioinformatics research that ...
We study different genetic algorithm operators for one permutation problem associated with the Human...
. We study different genetic algorithm operators for one permutationproblem associated with the Huma...
Applying genetic algorithms to DNA sequence assembly is not a straightforward process. Significantly...
Applying genetic algorithms to DNA sequence assem-bly is not a straightforward process. Significantl...
As more research centers embark on sequencing new genomes, the problem of DNA fragment assembly for ...
Evolutionary search algorithms are becoming an essential advantage in the algorithmic toolbox for so...
DNA Fragment assembly – an NP-Hard problem – is one of the major steps in of DNA sequencing. Multipl...
The paper results from development of new sequencing methods together with the need of suitable geno...
International audienceMotivation: With the recent advances in DNA sequencing technologies, the study...
Experimental design and response surface methodology is applied to tuning the parameters of an optim...
Genetic algorithm (GA) is a well known algorithm applied to a wide variety of optimization problems ...
Ordered gene problems are a very common classification of optimization problems. Because of their p...
This paper deals with some new operators of genetic algorithms and demonstrates their effectiveness ...
Experimental design and response surface methodology is applied to tuning the parameters of an optim...
Finding gene locations for specific functions is an important topic in bioinformatics research that ...