Experimental design and genetic algorithm optimization of a fuzzy-logic supervisor for embedded electrical power systems.
Stefan BrebanChristophe SaudemontSébastien VieillardBenoit RobynsPublished in: Math. Comput. Simul. (2013)
Keyphrases
- experimental design
- fuzzy logic
- genetic algorithm
- electrical power systems
- fault diagnosis
- neural network
- optimization method
- active learning
- empirical studies
- power system
- optimization algorithm
- experimental designs
- expert systems
- multi objective
- artificial intelligence
- fuzzy sets
- fuzzy rules
- metaheuristic
- particle swarm
- fitness function
- computational intelligence
- feature selection
- sample size
- ant colony optimization
- artificial neural networks
- control system
- data sets