Adaptive crossover, mutation and selection using fuzzy system for genetic algorithms.
Soung-Min ImJu-Jang LeePublished in: Artif. Life Robotics (2008)
Keyphrases
- genetic algorithm
- crossover and mutation
- fuzzy logic
- evolutionary algorithm
- mutation operator
- selection strategy
- differential evolution
- crossover operator
- fitness function
- genetic operators
- genetic algorithm ga
- fuzzy sets
- population size
- multi objective
- genetic programming
- mutation operation
- adaptive fuzzy
- neural network
- evolutionary computation
- function optimization problems
- selection operator
- genetic search
- simulated annealing
- inertia weight particle swarm optimization
- immune clonal
- artificial neural networks
- ant colony optimization
- optimization problems
- premature convergence
- mutation probability
- optimization algorithm
- crossover and mutation operators
- particle swarm optimization pso
- multi objective optimization
- evolution process
- membership functions
- fuzzy systems
- optimization method
- mutation rate
- fuzzy rule based systems
- selection algorithm
- fuzzy controller
- function optimization
- metaheuristic
- candidate solutions
- evolutionary process
- initial population
- differential evolution algorithm
- fuzzy measures
- artificial immune system
- fuzzy numbers
- evolution strategy
- fuzzy rules