Global optimization test problems based on random field composition.
Ramses SalaNiccolò BaldanziniMarco PieriniPublished in: Optim. Lett. (2017)
Keyphrases
- global optimization
- test problems
- random fields
- benchmark problems
- solution quality
- branch and bound algorithm
- markov random field
- knapsack problem
- optimization problems
- tabu search
- conditional random fields
- random field models
- parameter estimation
- non stationary
- test functions
- textured images
- maximum entropy
- particle swarm optimization
- global search
- nsga ii
- probabilistic model
- pso algorithm
- constrained global optimization
- optimal solution
- simulated annealing
- potential functions
- search capabilities
- cost function
- special case
- evolutionary algorithm
- energy function
- metaheuristic
- graph cuts
- graphical models
- hidden markov models
- search algorithm
- neural network