MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems.
Murilo Zangari de SouzaRoberto SantanaAurora Trinidad Ramirez PozoAlexander MendiburuPublished in: CoRR (2015)
Keyphrases
- probabilistic graphical models
- multi objective
- graphical models
- markov networks
- first order logic
- conditional random fields
- approximate inference
- probabilistic inference
- belief propagation
- random variables
- metaheuristic
- evolutionary algorithm
- parameter learning
- rough sets
- exact inference
- genetic algorithm
- knapsack problem
- probabilistic model
- hidden variables
- belief functions
- artificial intelligence