A multiobjective approach for protein structure prediction using a steady-state genetic algorithm with phenotypic crowding.
Gregorio Kappaun RochaFábio Lima CustódioHelio José Corrêa BarbosaLaurent Emmanuel DardennePublished in: CIBCB (2015)
Keyphrases
- steady state
- multi objective
- protein structure prediction
- genetic algorithm
- multi objective optimization
- evolutionary algorithm
- markov chain
- protein structure
- protein sequences
- graph theory
- particle swarm optimization
- explicit expressions
- computational biology
- product form
- operating conditions
- coarse grained
- nsga ii
- amino acids
- objective function
- queue length
- secondary structure
- protein folding
- neural network
- steady states
- simulated annealing
- service times
- arrival rate
- stationary distribution
- state dependent
- queueing model
- metaheuristic
- differential evolution
- heavy traffic
- optimization problems
- queueing networks
- learning algorithm