A bivariate probabilistic model-building genetic algorithm for graph bipartitioning.
Dirk ThierensPublished in: GECCO (Companion) (2008)
Keyphrases
- genetic algorithm
- graph partitioning
- graph model
- bayesian networks
- graph theory
- multi objective
- graph matching
- directed graph
- fitness function
- graph representation
- probabilistic model
- weighted graph
- graph theoretic
- structured data
- posterior probability
- graph databases
- context sensitive
- neural network
- tensor product
- optimization method
- artificial neural networks
- evolutionary algorithm
- random walk
- metaheuristic
- tabu search
- connected components
- generative model
- uncertain data
- particle swarm optimization
- simulated annealing
- fuzzy logic
- spanning tree
- crossover operator
- np hard
- k means
- probabilistic networks
- min cut