ISSN:
1573-2878
Keywords:
Decomposition techniques
;
generalized Lagrangian
;
large-systems optimization
;
method of multipliers
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Abstract An infeasible method of large-system optimization is proposed. The dual gap is resolved by use of the generalized Lagrangian as in the previous methods due to Stephanopouloset al. and Watanabeet al. The values of subsystem inputs are, however, coordinated in the second level, instead of being adjusted in the first level, as in previous methods. As a result, in contrast with previous methods, the subproblems in the first level include a small number of variables to be adjusted; in addition, the generalized Lagrangian is decomposable in a simple manner. Further, the decomposition is not subject to any restriction, which is often encountered in feasible methods.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00932887
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