A novel approach for designing adaptive fuzzy classifiers based on the combination of an artificial immune network and a memetic algorithm.
Ayse Merve AcilarAhmet ArslanPublished in: Inf. Sci. (2014)
Keyphrases
- memetic algorithm
- adaptive fuzzy
- artificial immune network
- tabu search
- control algorithm
- feedback control
- nonlinear systems
- neural network
- job shop scheduling problem
- evaluation model
- artificial immune system
- evolutionary computation
- genetic algorithm
- fuzzy theory
- fuzzy controller
- fuzzy control
- combinatorial optimization
- median filter
- fuzzy c means
- crossover operator
- vehicle routing problem
- closed loop
- knowledge base
- artificial intelligence
- particle swarm optimization
- color images
- inverted pendulum
- data mining