Autonomous Generation of Observation Schedules for Tracking Satellites with Structured-Chromosome GA Optimisation.
Cristian GrecoLorenzo GentileGianluca FilippiEdmondo A. MinisciMassimiliano VasileThomas Bartz-BeielsteinPublished in: CEC (2019)
Keyphrases
- genetic algorithm
- earth observing
- fitness function
- genetic algorithm ga
- genetic operators
- visual tracking
- evolutionary algorithm
- scheduling problem
- neural network
- appearance model
- real time
- particle filter
- observation model
- simulated annealing
- cooperative
- motion tracking
- evolutionary computation
- kalman filter
- metaheuristic
- object tracking
- particle swarm optimization
- binary strings
- hybrid genetic algorithm
- unmanned aerial vehicles
- autonomous navigation
- real world
- moving target
- robotic systems
- differential evolution
- artificial neural networks
- sensor data
- remote sensing
- hybrid algorithm
- motion analysis
- particle filtering
- genetic programming
- crossover operator
- particle swarm optimization pso
- ant colony optimization
- optimization method
- state space
- parallel genetic algorithm