A Combinatorial Benders׳ decomposition for the lock scheduling problem
| Autor: | P. De Causmaecker, Jannes Verstichel, Joris Kinable, G. Vanden Berghe |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Combinatorial Benders' Decomposition
Mathematical optimization Optimization problem General Computer Science Job shop scheduling Computation Itec Combinatorial optimization problem Management Science and Operations Research Benders' decomposition Scheduling (computing) Packing problems Lock scheduling problem iMinds Modeling and Simulation Algorithm Generalized assignment problem Mathematics |
| Zdroj: | Computers & Operations Research. 54:117-128 |
| ISSN: | 0305-0548 |
| DOI: | 10.1016/j.cor.2014.09.007 |
| Popis: | The Lock Scheduling Problem (LSP) is a combinatorial optimization problem that represents a real challenge for many harbours and waterway operators. The LSP consists of three strongly interconnected sub problems: scheduling lockages, assigning ships to chambers, and positioning the ships inside the chambers. These should be interpreted respectively as a scheduling, an assignment, and a packing problem. By combining the first two problems into a master problem and using the packing problem as a sub problem, a decomposition is achieved that can be solved efficiently by a Combinatorial Benders' approach. The master problem is solved first, thereby sequencing the ships into a number of lockages. Next, for each lockage, a packing sub problem is checked for feasibility, possibly returning a number of combinatorial inequalities (cuts) to the master problem. The result is an exact approach to the LSP. Experiments are conducted on a set of instances that were generated in correspondence with real world data. The results indicate that the decomposition approach significantly outperforms other exact approaches presented in the literature, in terms of solution quality and computation time. ispartof: Computers & Operations Research vol:54 pages:117-128 status: published |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect