On generating interpretable and precise fuzzy systems based on Pareto multi-objective cooperative co-evolutionary algorithm.
Yong ZhangXiaobei WuZongyi XingWeili HuPublished in: Appl. Soft Comput. (2011)
Keyphrases
- evolutionary algorithm
- multi objective
- fuzzy systems
- evolutionary computation
- cooperative
- multi objective optimization
- evolutionary computing
- multiobjective optimization
- optimization algorithm
- optimization problems
- fitness function
- differential evolution
- soft computing
- particle swarm optimization
- neural network
- genetic algorithm
- genetic programming
- genetic operators
- multiple objectives
- fuzzy controller
- nsga ii
- swarm intelligence
- neural fuzzy
- nonlinear systems
- takagi sugeno
- fuzzy model
- fuzzy rules
- rule base
- pareto optimal
- multi objective optimization problems
- artificial neural networks
- fuzzy control
- fuzzy inference system
- neuro fuzzy systems
- knowledge base
- pattern recognition
- pareto optimal solutions
- computational intelligence
- classification rules
- multi objective evolutionary algorithms
- search space
- t norm
- artificial immune system
- fuzzy rule based systems
- particle swarm optimization pso