BBPH: Using progressive hedging within branch and bound to solve multi-stage stochastic mixed integer programs
Journal Article
·
· Operations Research Letters
- Univ. of California, Davis, CA (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Progressive hedging, though an effective heuristic for solving stochastic mixed integer programs (SMIPs), is not guaranteed to converge in this case. Here, we describe BBPH, a branch and bound algorithm that uses PH at each node in the search tree such that, given sufficient time, it will always converge to a globally optimal solution. Additionally, to providing a theoretically convergent “wrapper” for PH applied to SMIPs, computational results demonstrate that for some difficult problem instances branch and bound can find improved solutions after exploring only a few nodes.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE; USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
- Grant/Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1340699
- Alternate ID(s):
- OSTI ID: 1411451
- Report Number(s):
- SAND--2016-12289J; PII: S0167637716302152
- Journal Information:
- Operations Research Letters, Journal Name: Operations Research Letters Journal Issue: 1 Vol. 45; ISSN 0167-6377
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
A Progressive Hedging based branch-and-bound algorithm for mixed-integer stochastic programs
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journal | June 2018 |
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