| Fecha: |
1998 |
| Resumen: |
A stochastic branch and bound method for solving stochastic global optimization problems is proposed. As in the deterministic case, the feasible set is partitioned into compact subsets. To guide the partitioning process the method uses stochastic upper and lower estimates of the optimal value of the objective function in each subset. Convergence of the method is proved and random accuracy estimates derived. Methods for constructing stochastic upper and lower bounds are discussed. The theoretical considerations are illustrated with an example of a facility location problem. . |
| Derechos: |
Aquest material està protegit per drets d'autor i/o drets afins. Podeu utilitzar aquest material en funció del que permet la legislació de drets d'autor i drets afins d'aplicació al vostre cas. Per a d'altres usos heu d'obtenir permís del(s) titular(s) de drets.  |
| Lengua: |
Anglès |
| Documento: |
Article ; recerca ; Versió publicada |
| Materia: |
Stochastic programming ;
Global optimization ;
Branch and bound method ;
Facility location |
| Publicado en: |
Mathematical Programming, vol. 83 n. 3 (1998) p. 425-450, ISSN 0025-5610 |
visitante ::
identificación
Acceso restringido a la UAB
