Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7543957 | Operations Research Letters | 2017 | 7 Pages |
Abstract
We present an approach to parallelize generation of feasible mixed integer solutions of mixed integer linear programs in distributed memory high performance computing environments. This approach combines a parallel framework with feasibility pump (FP) as the rounding heuristic. It runs multiple FP instances with different starting solutions concurrently, while allowing them to share information. Our computational results suggest that the improvement resulting from parallelization using our approach is statistically significant.
Related Topics
Physical Sciences and Engineering
Mathematics
Discrete Mathematics and Combinatorics
Authors
Utku Koc, Sanjay Mehrotra,