Using Novelty-Biased GA to Sample Diversity in Graphs Satisfying Constraints.
Peter OverburyLuc BerthouzePublished in: GECCO (Companion) (2015)
Keyphrases
- genetic algorithm ga
- genetic algorithm
- constraint satisfaction
- fitness function
- graph theoretic
- ant colony optimization
- sample size
- multi objective
- evolutionary algorithm
- evolutionary computation
- constraint graph
- graph theory
- penalty function
- search result diversification
- hybrid ga
- evolutionary process
- graph kernels
- premature convergence
- graph representation
- graph partitioning
- graph model
- constrained optimization
- graph matching
- hybrid algorithm
- graphical models
- artificial neural networks