A combined procedure for discrete simulation-optimization problems based on the simulated annealing framework.
Gianpaolo GhianiPasquale LegatoRoberto MusmannoFrancesca VocaturoPublished in: Comput. Optim. Appl. (2007)
Keyphrases
- simulated annealing
- optimization problems
- main contribution
- metaheuristic
- evolutionary algorithm
- probabilistic model
- lightweight
- tabu search
- mathematical model
- conceptual framework
- reversible jump mcmc
- machine learning
- simulated annealing algorithm
- optimization methods
- numerical simulations
- artificial neural networks
- knowledge base