An adaptive mutation operator for artificial immune network using learning automata in dynamic environments.
Alireza RezvanianMohammad Reza MeybodiPublished in: NaBIC (2010)
Keyphrases
- dynamic environments
- learning automata
- mutation operator
- artificial immune network
- genetic algorithm
- artificial immune system
- evolutionary algorithm
- differential evolution
- evaluation model
- crossover operator
- pursuit algorithm
- learning automaton
- convergence rate
- fuzzy theory
- reinforcement learning
- fuzzy c means
- mobile robot
- fitness function
- multi objective
- genetic algorithm ga
- evolutionary computation
- fuzzy logic
- simulated annealing
- genetic programming
- artificial neural networks
- particle swarm optimization
- changing environment
- convergence speed
- metaheuristic
- tabu search
- optimization algorithm
- memetic algorithm
- evaluation method
- state space
- particle swarm optimization pso
- ant colony optimization