Combining a Parallel Branch-and-Bound Algorithm with a Strong Heuristic to Solve the Sequential Ordering Problem
Author:
Affiliation:
1. Computer Science Department, California State University, Sacramento, USA
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3605731.3608929
Reference34 articles.
1. A hybrid particle swarm optimization approach for the sequential ordering problem
2. A Cutting Plane Approach to the Sequential Ordering Problem (with Applications to Job Scheduling in Manufacturing)
3. A. Borisenko and S. Gorlatch . 2019. Optimal batch plants design on parallel systems: A comparative study . In IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). 549–558 . A. Borisenko and S. Gorlatch. 2019. Optimal batch plants design on parallel systems: A comparative study. In IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). 549–558.
4. Towards a heterogeneous and adaptive parallel Branch-and-Bound algorithm
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