A bottom-up approach to discover transition rules of cellular automata using ant intelligence.
Xiaoping LiuXia LiLin LiuJinqiang HeBin AiPublished in: Int. J. Geogr. Inf. Sci. (2008)
Keyphrases
- cellular automata
- cellular automaton
- cellular automata model
- artificial intelligence
- discrete dynamical systems
- lattice gas
- traffic flow
- predator prey
- potts model
- pedestrian dynamics
- pattern formation
- chaotic dynamics
- association rules
- cellular automaton model
- ant colony optimization
- swarm intelligence
- metaheuristic
- reaction diffusion
- computational intelligence
- neural network