Nonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution.
Ismaila B. TijaniRini AkmeliawatiAri LegowoAgus BudiyonoPublished in: Eng. Appl. Artif. Intell. (2014)
Keyphrases
- small scale
- differential evolution
- multi objective
- evolutionary algorithm
- optimization algorithm
- particle swarm optimization
- multiobjective optimization problems
- artificial bee colony
- multi objective optimization
- multi objective optimization problems
- nsga ii
- convergence speed
- multiobjective optimization
- optimization method
- test functions
- differential evolution algorithm
- genetic algorithm
- evolution strategy
- particle swarm optimization pso
- mutation operator
- evolutionary computation
- global optimization problems
- genetic programming
- multi objective problems
- multiple objectives
- numerical optimization problems
- function optimization problems
- parameter optimization
- objective function
- particle swarm
- crossover operator
- optimization problems
- particle swarm optimization algorithm
- multi objective evolutionary algorithms
- initial population
- fitness function
- function optimization
- global optimization
- real coded
- neural network
- solving global optimization problems
- min max
- control parameters
- feed forward
- mathematical model
- simulated annealing
- real world