Evaluation of the branch and bound algorithm for feature selection.
Yoshihiko HamamotoShunji UchimuraYutaka MatsuuraTaiho KanaokaShingo TomitaPublished in: Pattern Recognit. Lett. (1990)
Keyphrases
- branch and bound algorithm
- feature selection
- lower bound
- branch and bound
- optimal solution
- np hard
- test problems
- upper bound
- upper bounding
- lower bounding
- combinatorial optimization
- search tree
- randomly generated problems
- single machine scheduling problem
- precedence constraints
- finding an optimal solution
- integer variables
- branch and bound method
- variable ordering
- lagrangian relaxation
- max sat
- mixed integer linear programming
- feature space
- search space
- search algorithm
- maximum clique
- feature vectors
- evolutionary algorithm