Applying particle swarm optimization to the motion-cueing-algorithm tuning problem.
Sergio CasasCristina PortalésInmaculada ComaMarcos FernándezPublished in: GECCO (Companion) (2017)
Keyphrases
- particle swarm optimization
- objective function
- preprocessing
- detection algorithm
- optimal solution
- parameter tuning
- computational cost
- dynamic programming
- k means
- cost function
- computational complexity
- np hard
- multi objective
- segmentation algorithm
- optimization algorithm
- improved algorithm
- kalman filter
- recognition algorithm
- genetic algorithm
- particle swarm optimization algorithm
- convergence speed
- hybrid algorithm
- matching algorithm
- computer vision
- expectation maximization
- simulated annealing