A continuous estimation of distribution algorithm by evolving graph structures using reinforcement learning.
Xianneng LiBing LiShingo MabuKotaro HirasawaPublished in: IEEE Congress on Evolutionary Computation (2012)
Keyphrases
- graph structures
- estimation of distribution algorithms
- reinforcement learning
- continuous domains
- graph structure
- feature subset selection
- graph mining
- evolutionary computation
- directed graph
- structured data
- graph clustering
- state space
- evolutionary algorithm
- genetic algorithm
- genetic programming
- multi objective optimization
- particle swarm optimization algorithm
- combinatorial optimization
- multi objective
- special case
- machine learning
- similarity measure
- bayesian networks
- high dimensional
- graph data
- combinatorial optimization problems
- dynamic programming
- data sets
- clustering method
- simulated annealing