A Combinatorial Optimization Framework for Probability-Based Algorithms by Means of Generative Models.
Mikel MalagonEkhine IrurozkiJosu CeberioPublished in: ACM Trans. Evol. Learn. Optim. (2024)
Keyphrases
- combinatorial optimization
- generative model
- combinatorial optimization problems
- probabilistic model
- optimization problems
- metaheuristic
- traveling salesman problem
- posterior probability
- bayesian framework
- generative and discriminative models
- representational power
- combinatorial problems
- branch and bound algorithm
- discriminative models
- simulated annealing
- conditional random fields
- neural network
- prior knowledge
- genetic algorithm
- topic models
- graphical models
- object detection
- probability distribution
- discriminative learning
- quadratic assignment problem
- cost function