Optimizing Multiple Sequence Alignment by Improving Mutation Operators of a Genetic Algorithm.
Fernando José Mateus da SilvaJuan Manuel Sánchez-PérezJuan Antonio Gómez PulidoMiguel A. Vega-RodríguezPublished in: ISDA (2009)
Keyphrases
- genetic algorithm
- multiple sequence alignment
- mutation operator
- crossover operator
- evolutionary algorithm
- genetic operators
- differential evolution
- fitness function
- crossover and mutation operators
- multiple alignment
- multi objective
- neural network
- memory efficient
- simulated annealing
- crossover and mutation
- artificial neural networks
- genetic algorithm ga
- convergence rate
- protein sequences
- pairwise
- dynamic programming
- search algorithm
- biological sequences
- particle swarm optimization
- nsga ii
- genetic programming
- metaheuristic
- optimization algorithm