A Genetic Algorithm with Variable Range of Local Search for Tracking Changing Environments.
Frank VavakTerence C. FogartyKen JukesPublished in: PPSN (1996)
Keyphrases
- changing environment
- genetic algorithm
- real time
- dynamic environments
- simulated annealing
- tabu search
- global search
- hybrid ga
- evolutionary algorithm
- autonomous agents
- multi objective
- fitness function
- explore the search space
- memetic algorithm
- kalman filter
- metaheuristic
- genetic algorithm ga
- appearance model
- job shop scheduling problem
- object tracking
- neural network
- particle filtering
- population size
- particle filter
- wide range
- search space
- motion model
- search algorithm
- hybrid algorithm
- optimization problems
- constrained multi objective optimization problems
- sensory information
- genetic search
- artificial neural networks
- robust tracking
- control system
- state space
- crossover operator
- fuzzy logic
- multi objective optimization
- visual tracking
- particle swarm optimization
- evolutionary computation