A hybrid MPI/OpenMP parallel implementation of NSGA-II for finding patterns in protein sequences.
David L. González-ÁlvarezMiguel A. Vega-RodríguezÁlvaro Rubio-LargoPublished in: J. Supercomput. (2017)
Keyphrases
- parallel implementation
- protein sequences
- nsga ii
- message passing interface
- multi objective
- multi objective optimization
- evolutionary algorithm
- test problems
- computational biology
- pareto optimal
- optimization problems
- multiobjective evolutionary algorithm
- multiobjective optimization
- distributed memory
- evolutionary multiobjective optimization
- multi objective differential evolution
- evolutionary multiobjective
- protein structure
- constrained multi objective optimization problems
- optimal solution
- parallel computation
- secondary structure
- genetic algorithm
- differential evolution
- multi objective evolutionary algorithms
- amino acids
- optimization algorithm
- graphics processing units
- protein classification
- sequence analysis
- shared memory
- parallel computers
- bi objective
- fitness function
- amino acid sequences
- biological sequences
- multiple sequence alignment
- objective function
- parallel programming
- parallel architecture
- neural network
- high performance computing
- knapsack problem
- protein function
- tabu search
- simulated annealing
- benchmark problems
- genetic programming
- multiple sequence alignments
- protein secondary structure
- search algorithm