A Metropolis algorithm combined with Hooke-Jeeves local search method applied to global optimization.
A. C. Rios-CoelhoWagner F. SaccoNélio HendersonPublished in: Appl. Math. Comput. (2010)
Keyphrases
- global optimization
- global solution
- hooke jeeves
- ant colony algorithm
- global search
- dynamic programming
- cost function
- optimization algorithm
- constrained global optimization
- simulated annealing
- objective function
- convergence rate
- k means
- hybrid ga
- search space
- global optimality
- em algorithm
- matching algorithm
- optimization method
- energy function
- exhaustive search
- particle swarm optimization algorithm
- particle swarm optimization
- segmentation algorithm
- mathematical model
- global optimum
- search procedure
- global optima
- expectation maximization
- optimal solution
- hill climbing
- globally optimal
- convergence speed
- combinatorial optimization
- memetic algorithm
- particle swarm
- deterministic annealing
- bayesian framework
- image matching
- genetic algorithm
- multi objective
- evolution strategy
- evolutionary programming
- theoretical guarantees
- matching process
- image inpainting
- multi start