Using novelty-biased GA to sample diversity in graphs satisfying constraints.
Peter OverburyLuc BerthouzePublished in: CoRR (2015)
Keyphrases
- genetic algorithm
- genetic algorithm ga
- evolutionary process
- high quality
- geometric constraints
- directed graph
- hybrid algorithm
- premature convergence
- graph theory
- graph matching
- neural network
- constraint programming
- fitness function
- sample size
- linear programming
- multi objective
- graph mining
- graph theoretic
- novelty detection
- linear constraints
- evolutionary algorithm
- constraint graph