Hybridizing Particle Filters and Population-based Metaheuristics for Dynamic Optimization Problems.
Juan José PantrigoÁngel SánchezPublished in: HIS (2005)
Keyphrases
- particle filter
- dynamic optimization problems
- particle swarm optimization
- multi swarm
- optimization problems
- dynamic optimization
- simulated annealing
- combinatorial optimization
- evolutionary algorithm
- nature inspired
- metaheuristic
- visual tracking
- object tracking
- pso algorithm
- differential evolution
- particle swarm optimization pso
- particle filtering
- multi objective
- state space
- global optimization
- ant colony optimization
- swarm intelligence
- monte carlo
- genetic algorithm
- appearance model
- particle swarm optimizer
- importance sampling
- tabu search
- abrupt motion
- particle swarm optimization algorithm
- kalman filter
- sequential monte carlo
- particle swarm
- hybrid algorithm
- mean shift
- state estimation
- benchmark problems
- multiple objects
- convergence speed
- multiple object tracking
- markov chain monte carlo
- artificial bee colony
- robust tracking
- solution space
- optimal solution
- estimation problems
- search space
- proposal distribution
- reinforcement learning
- scatter search
- evolutionary computation
- evolutionary programming
- simultaneous localization and mapping
- optimization method