skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Integration of progressive hedging and dual decomposition in stochastic integer programs

Journal Article · · Operations Research Letters
 [1];  [2];  [1];  [2];  [3]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Iowa State Univ., Ames, IA (United States)
  3. Univ. of California, Davis, CA (United States)

We present a method for integrating the Progressive Hedging (PH) algorithm and the Dual Decomposition (DD) algorithm of Carøe and Schultz for stochastic mixed-integer programs. Based on the correspondence between lower bounds obtained with PH and DD, a method to transform weights from PH to Lagrange multipliers in DD is found. Fast progress in early iterations of PH speeds up convergence of DD to an exact solution. As a result, we report computational results on server location and unit commitment instances.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); USDOE Advanced Research Projects Agency - Energy (ARPA-E); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
Grant/Contract Number:
AC04-94AL85000; AC04-94-AL85000
OSTI ID:
1235345
Alternate ID(s):
OSTI ID: 1246202
Report Number(s):
SAND-2015-0010J; 558281
Journal Information:
Operations Research Letters, Vol. 43, Issue 3; ISSN 0167-6377
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 29 works
Citation information provided by
Web of Science

References (18)

Dual decomposition in stochastic integer programming journal February 1999
A Computationally Efficient Mixed-Integer Linear Formulation for the Thermal Unit Commitment Problem journal August 2006
Solving Stochastic Transportation Network Protection Problems Using the Progressive Hedging-based Method journal March 2008
Pyomo: modeling and solving mathematical programs in Python journal August 2011
Proximity control in bundle methods for convex nondifferentiable minimization journal January 1990
The integer L-shaped method for stochastic integer programs with complete recourse journal April 1993
A Scenario Aggregation–Based Approach for Determining a Robust Airline Fleet Composition for Dynamic Capacity Allocation journal August 2005
Progressive hedging and tabu search applied to mixed integer (0,1) multistage stochastic programming journal January 1996
On parallelizing dual decomposition in stochastic integer programming journal May 2013
A Branch-and-Price Algorithm for Multistage Stochastic Integer Programming with Application to Stochastic Batch-Sizing Problems journal June 2004
Reduced network modeling of WECC as a market design prototype conference July 2011
Scenarios and Policy Aggregation in Optimization Under Uncertainty journal February 1991
Toward scalable, parallel progressive hedging for stochastic unit commitment conference January 2013
Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework journal August 2007
A stochastic model for the unit commitment problem journal January 1996
L -Shaped Linear Programs with Applications to Optimal Control and Stochastic Programming journal July 1969
Progressive hedging innovations for a class of stochastic mixed-integer resource allocation problems journal July 2010
PySP: modeling and solving stochastic programs in Python journal March 2012

Cited By (5)

Combining penalty-based and Gauss-Seidel methods for solving stochastic mixed-integer problems journal March 2018
Optimising data-driven network under limited resource: a partial diversification approach journal August 2018
A Progressive Hedging based branch-and-bound algorithm for mixed-integer stochastic programs journal June 2018
Obtaining lower bounds from the progressive hedging algorithm for stochastic mixed-integer programs journal April 2016
Testing of Algorithms for Integer Quasiblock Optimization Problems journal February 2018