Investigation of power quality disturbances by using 2D discrete orthonormal S-transform, machine learning and multi-objective evolutionary algorithms.
Seçkin KarasuZehra SaraçPublished in: Swarm Evol. Comput. (2019)
Keyphrases
- multi objective evolutionary algorithms
- machine learning
- multi objective
- power quality disturbance
- decision trees
- multi objective optimization
- nsga ii
- pattern recognition
- test problems
- data mining
- differential evolution
- evolutionary algorithm
- multiobjective optimization
- fast fourier transform
- optimization algorithm
- multi criteria
- artificial intelligence
- fitness function
- computational intelligence
- fuzzy logic
- bi objective
- probabilistic neural network
- reinforcement learning
- particle swarm optimization
- basis functions
- knapsack problem