DocumentCode
2746469
Title
A New Decomposition Algorithm on Non-separable Optimization Problems
Author
Xing, Jinsheng
Author_Institution
Sch. of Math. & Comput. Sci., Shan´´ xi Normal Univ., Linfen, China
fYear
2009
fDate
6-7 June 2009
Firstpage
511
Lastpage
514
Abstract
Considered is the non-separable optimization problem for a class of large-scale systems, where the overall objective function is not of an additive form with respect to each decision variable. A three-level optimization algorithm is proposed. It first converts the original problem into separable parametric optimization problem. The optimal solution of the original problem is then selected from the set of solutions of parametric optimization problem. Theoretical base of the algorithm is established. Simulation result for one example shows that the algorithm is effective.
Keywords
decision theory; optimisation; decision variable; decomposition algorithm; large-scale system; nonseparable optimization problem; objective function; three-level optimization algorithm; Computer science; Convergence; Electronic commerce; Lagrangian functions; Large-scale systems; Mathematics; Nonlinear equations; Optimization methods; Stochastic processes; System performance; multi-objective optimization; parametric optimization; primal-dual algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Commerce and Business Intelligence, 2009. ECBI 2009. International Conference on
Conference_Location
Beijing
Print_ISBN
978-0-7695-3661-3
Type
conf
DOI
10.1109/ECBI.2009.134
Filename
5189530
Link To Document