An Approach to Evolutionary Robotics Using a Genetic Algorithm with a Variable Mutation Rate Strategy.
Yoshiaki KatadaKazuhiro OhkuraKanji UedaPublished in: PPSN (2004)
Keyphrases
- mutation rate
- genetic algorithm
- population size
- evolutionary robotics
- fitness function
- evolutionary algorithm
- fitness landscape
- population dynamics
- crossover rate
- genetic algorithm ga
- multi objective
- genetic operators
- genetic programming
- metaheuristic
- evolutionary computation
- learning rate
- evolutionary strategy
- mathematical model
- multi objective optimization
- evolutionary computing
- evolutionary search
- vision system
- simulated annealing
- mobile robot
- neural network