Adaptive Multicut Aggregation Method for Solving Two-stage Stochastic Convex Programming with Recourse

Jingsheng Liu, Changyin Zhou, Xiuping Zhang

Abstract


In this paper we extend directly adaptive multicut aggregation method of Svyatoslav Trukhanov, Lewis Ntaimo and Andrew Schaefer to solving two-stage problems of stochastic convex programming. The implement of the algorithm is simple, so less computation work is needed. The algorithm has certain convergence.


Full Text: PDF

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

Modern Applied Science   ISSN 1913-1844 (Print)   ISSN 1913-1852 (Online)

Copyright © Canadian Center of Science and Education

To make sure that you can receive messages from us, please add the 'ccsenet.org' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.