A Fine-Grained CUDA Implementation of the Multi-objective Evolutionary Approach NSGA-II: Potential Impact for Computational and Systems Biology Applications.
Daniele D'AgostinoGiulia PasqualeIvan MerelliPublished in: CIBB (2014)
Keyphrases
- fine grained
- multi objective evolutionary
- multi objective
- systems biology
- nsga ii
- potential impact
- multi objective optimization problems
- multi objective optimization
- coarse grained
- pareto optimal
- high throughput
- multi objective evolutionary algorithms
- evolutionary algorithm
- multiobjective optimization
- test problems
- biological systems
- access control
- optimization algorithm
- bi objective
- biological data
- pareto optimal solutions
- multiple objectives
- biological networks
- gene regulatory networks
- genetic algorithm
- computational models
- knapsack problem
- particle swarm optimization
- molecular biology
- optimal solution