An initialization approach for metaheuristic algorithms by using Gibbs sampling.
Erik CuevasOscar Barba-ToscanoHéctor EscobarDaniel ZaldivarAlma Rodríguez-VázquezPublished in: Math. Comput. Simul. (2024)
Keyphrases
- particle swarm optimization
- gibbs sampling
- metaheuristic algorithms
- ant colony optimization
- metaheuristic
- multi objective
- topic models
- markov chain
- expectation maximization
- parameter estimation
- em algorithm
- latent dirichlet allocation
- approximate inference
- tabu search
- belief networks
- exact inference
- genetic algorithm
- traveling salesman problem
- markov chain monte carlo
- k means
- benchmark problems
- graphical models
- variable neighborhood search
- minimum spanning tree
- dynamic programming
- vehicle routing problem
- belief propagation
- simulated annealing
- heuristic methods
- evolutionary algorithm
- neural network
- model selection
- search space
- maximum likelihood