Convergence analysis of an elitist non-homogeneous genetic algorithm with mutation probability adjusted by a fuzzy controller.
André G. C. PereiraJose Arnaldo Frutuoso RovedaLuiz Amorim CarlosViviane Simioli Medeiros CamposSandra R. M. Masalskiene RovedaPublished in: IFSA/NAFIPS (2013)
Keyphrases
- fuzzy controller
- convergence analysis
- mutation probability
- evolutionary algorithm
- genetic algorithm
- crossover operator
- crossover and mutation
- mutation operator
- genetic operators
- fitness function
- multi objective
- fuzzy control
- global convergence
- evolutionary computation
- optimization problems
- differential evolution
- multi objective optimization
- fuzzy logic
- nsga ii
- simulated annealing
- selection operator
- optimization method
- genetic algorithm ga
- premature convergence
- evolution strategy
- optimality conditions
- input output
- initial population
- convergence rate
- particle swarm
- membership functions
- metaheuristic
- genetic programming
- neural network
- optimization methods
- control strategy
- rule base
- fuzzy rules
- global optimum
- control scheme
- control algorithm
- genetic search
- artificial neural networks
- search capabilities
- control method
- expert systems