Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II.
Francisco M. Ortuño GuzmanJavier P. FloridoJosé M. UrquizaHéctor PomaresAlberto PrietoIgnacio RojasPublished in: IEEE Congress on Evolutionary Computation (2012)
Keyphrases
- multiobjective evolutionary algorithm
- nsga ii
- multiple sequence alignment
- multi objective
- multiobjective optimization
- optimization problems
- optimization algorithm
- evolutionary multiobjective
- uniform design
- genetic algorithm
- evolutionary algorithm
- test problems
- multi objective optimization
- multi objective evolutionary algorithms
- pareto optimal
- optimal solution
- fitness function
- objective function
- protein sequences
- knapsack problem
- bi objective
- crossover operator
- multiple objectives
- differential evolution
- computational biology
- secondary structure
- min max
- memory efficient
- biological sequences
- benchmark problems
- machine learning
- artificial immune system
- multi criteria
- branch and bound algorithm