Adaptive Control of Strong Mutation Rate and Probability for Queen-bee Genetic Algorithms.
Sung Hoon JungPublished in: Int. J. Fuzzy Log. Intell. Syst. (2012)
Keyphrases
- adaptive control
- mutation rate
- genetic algorithm
- population size
- evolutionary computing
- evolutionary algorithm
- fitness function
- population dynamics
- fitness landscape
- control method
- particle swarm optimization
- reinforcement learning
- evolutionary computation
- genetic programming
- simulated annealing
- control law
- dynamic environments
- genetic operators
- multi objective
- fuzzy logic
- artificial neural networks
- parameter settings
- markov chain
- neural network
- particle swarm optimizer
- control algorithm
- multi objective optimization
- hybrid algorithm
- real time
- metaheuristic
- mutation operator
- evolution strategy
- least squares
- initial population
- genetic search
- multi agent
- objective function