A derivative-based algorithm for a particular class of mixed variable optimization problems.
Stefano LucidiVeronica PiccialliPublished in: Optim. Methods Softw. (2004)
Keyphrases
- optimization problems
- cost function
- times faster
- learning algorithm
- np hard
- significant improvement
- detection algorithm
- optimization algorithm
- experimental evaluation
- similarity measure
- benchmark problems
- preprocessing
- tree structure
- worst case
- simulated annealing
- multi class classification
- matching algorithm
- segmentation algorithm
- expectation maximization
- computational cost
- dynamic programming
- k means
- objective function
- optimal solution
- metaheuristic
- neural network
- improved algorithm
- face recognition
- convergence rate
- combinatorial optimization
- computational complexity
- high accuracy
- clustering method
- lower bound
- constraint satisfaction problems
- input image