Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
474159 | Computers & Operations Research | 2008 | 10 Pages |
Abstract
We study the job-shop scheduling problem with earliness and tardiness penalties. We describe two Lagrangian relaxations of the problem. The first one is based on the relaxation of precedence constraints while the second one is based on the relaxation of machine constraints. We introduce dedicated algorithms to solve the corresponding dual problems. The second one is solved by a simple dynamic programming algorithm while the first one requires the resolution of an NP-hard problem by branch and bound. In both cases, the relaxations allow us to derive lower bounds as well as heuristic solutions. We finally introduce a simple local search algorithm to improve the best solution found. Computational results are reported.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Philippe Baptiste, Marta Flamini, Francis Sourd,