An effective identification of the induction machine parameters using a classic genetic algorithm, NSGA II and θ-NSGA III.
Julien MaitreSébastien GabouryBruno BouchardAbdenour BouzouanePublished in: IISA (2015)
Keyphrases
- nsga ii
- multi objective
- genetic algorithm
- multi objective optimization
- evolutionary algorithm
- fitness function
- crossover operator
- constrained multi objective optimization problems
- mutation operator
- multiobjective optimization
- differential evolution
- optimization problems
- multiobjective evolutionary algorithm
- test problems
- optimization algorithm
- multi objective optimization problems
- evolutionary multiobjective optimization
- pareto optimal
- evolutionary strategy
- neural network
- genetic algorithm ga
- particle swarm optimization
- genetic programming
- multi objective optimisation
- optimal solution
- bi objective
- metaheuristic
- np hard