ISSN:
1572-9338
Keywords:
Stochastic programming
;
discrete optimal control
;
scenario aggregation
;
dynamic optimization
;
multistage decision making
;
decomposition
;
approximation
;
fisheries models
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
,
Economics
Notes:
Abstract This paper describes how the scenario aggregation principle can be combined with approximate solutions of the individual scenario problems, resulting in a computationally efficient algorithm where two individual Lagrangian-based procedures are merged into one. Computational results are given for an example from fisheries management. Numerical experiments indicate that only crude scenario solutions are needed.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF02204861
Permalink