Comparing multi-objective metaheuristics for solving a three-objective formulation of multiple sequence alignment.
Cristian Zambrano-VegaAntonio J. NebroJosé García-NietoJosé Francisco Aldana MontesPublished in: Prog. Artif. Intell. (2017)
Keyphrases
- multi objective
- multiple sequence alignment
- genetic algorithm
- multiple objectives
- particle swarm optimization
- multi objective optimization
- memory efficient
- evolutionary algorithm
- multi objective evolutionary algorithms
- protein sequences
- combinatorial optimization
- search heuristics
- metaheuristic
- simulated annealing
- tabu search
- multiple alignment
- neural network
- computational biology
- biological sequences
- nsga ii
- optimization problems
- objective function
- secondary structure
- phylogenetic trees
- knowledge discovery