A 'phylogeny-aware' multi-objective optimization approach for computing MSA.
Muhammad Ali NayeemMd. Shamsuzzoha BayzidAtif Hasan RahmanRifat ShahriyarM. Sohel RahmanPublished in: GECCO (2019)
Keyphrases
- multi objective optimization
- multi objective
- evolutionary algorithm
- multiple sequence alignment
- genetic algorithm
- multi objective optimization problems
- differential evolution
- nsga ii
- pareto optimal
- multi objective genetic algorithms
- multi objective genetic algorithm
- optimization problems
- hybrid evolutionary algorithm
- multiple objectives
- pareto dominance
- multi objective evolutionary algorithms
- multi objective problems
- bi objective
- crossover and mutation
- estimation of distribution algorithms
- optimization algorithm
- neural network
- multiobjective optimization
- fitness function
- complex optimization problems
- pareto frontier
- simulated annealing
- solving multi objective optimization problems