Introducing particle swarm optimization into a genetic algorithm to evolve robot controllers.
Malte LangoszKai Alexander von SzadkowskiFrank KirchnerPublished in: GECCO (Companion) (2014)
Keyphrases
- particle swarm optimization
- genetic algorithm
- multi objective
- evolutionary robotics
- pso algorithm
- mobile robot
- hybrid algorithm
- ant colony optimization
- metaheuristic
- differential evolution
- swarm intelligence
- particle swarm optimization algorithm
- global optimization
- human robot interaction
- fitness function
- particle swarm optimization pso
- autonomous robots
- evolutionary process
- convergence speed
- particle swarm
- genetic algorithm is applied
- vision system
- global search
- evolutionary algorithm
- genetic programming
- mutation operator
- multi robot
- robot navigation
- control system
- humanoid robot
- reinforcement learning
- fuzzy logic
- robotic systems
- neural network
- evolutionary strategy
- human operators
- real robot
- visual servoing
- trajectory tracking
- control loop
- legged robots
- robot manipulators
- control strategies
- artificial neural networks
- crossover operator
- simulated annealing
- tabu search
- evolutionary computation
- premature convergence
- wheeled mobile robot
- genetic algorithm ga
- population diversity
- inertia weight
- robot control
- obstacle avoidance
- controller design
- optimization method
- multi objective optimization
- multiple robots
- mobile robotics
- optimization algorithm
- real time
- control law